What is DeFi Yield?

In simple terms, DeFi earnings refer to the interest or rewards users receive by depositing cryptocurrency assets (such as stablecoins like USDC and USDT, or mainstream tokens) into top DeFi protocols. This DeFi earnings model is typically presented as an APY (Annual Percentage Yield). These protocols function like automated "digital banks," pooling the deposited assets for activities such as lending, trading, or other on-chain operations, and returning the majority of the generated profits to the users who provided the assets.

DeFi Yield VS. Traditional Finance

Compared to traditional finance, the core advantages of DeFi earnings lie in：

• No intermediaries: No banks or institutions act as middlemen, reducing costs.

• Global and open access: Anyone with an internet connection can participate.

• Transparency: All transactions and interest rates are publicly verifiable on the blockchain.

• Potentially higher returns: Under specific market conditions, certain DeFi protocols may offer annualized yields higher than traditional savings rates, though returns can fluctuate with market movements.

Three Major Challenges for Beginners Participating in DeFi Earnings

While the prospects are enticing, newcomers often encounter the following obstacles when entering the DeFi world directly:

1. High Technical Barriers: Managing wallet private keys, understanding gas fees (transaction costs), and interacting with complex DApp interfaces.

2. Insufficient Risk Awareness: Including risks such as smart contract vulnerabilities, market volatility, and inherent design flaws in protocols.

3. Cumbersome Operations: Processes like identifying high-yield protocols, transferring assets across chains, and frequently optimizing returns are incredibly time-consuming.

Risk Notice for DeFi Earnings (Must-Read for Beginners)

DeFi earnings are not risk-free products. Users should fully understand the following risks before participating:

• Smart Contract Risk: Even leading protocols may have undiscovered vulnerabilities.

• Market Risk: APY fluctuates with market liquidity and interest rate changes.

• Stablecoin Risk: Stablecoins are not bank deposits and are not protected by deposit insurance.

BenPay DeFi Earn: A One-Click On-Chain Yield Solution for Beginners

Recognizing these pain points, BenPay's DeFi Earn is designed to transform professional on-chain yield opportunities into a product that is easy for everyone to use. Here’s how it helps you get started from scratch:

1. Zero Gas Fees, Lowering Entry Barriers

BenPay innovatively offers a gas-free deposit experience. You don’t need to purchase or hold other network tokens in advance to pay for transaction fees, nor do you have to understand complex gas mechanisms. Simply select a DeFi protocol and participate with a single click, making the first-time experience much simpler.

2. Curated Blue-Chip DeFi Protocols, No Research Required

There are hundreds of DeFi protocols in the market, each with varying yields and risks. BenPay DeFi Earn’s intelligent system automatically routes your funds to top-tier, security-audited protocols offering optimal returns, such as Aave, Compound, and Solana, while excluding high-risk, long-tail assets.You don’t need to be a DeFi expert to enjoy professionally vetted DeFi opportunities.

3. Integrated MPC Wallet + zkLogin: Security Meets Convenience

Security is paramount in DeFi. BenPay’s built-in MPC (Multi-Party Computation) wallet technology encrypts and stores fragments of your private key across multiple locations, eliminating the risk of single-point exposure. You can securely manage your assets without having to back up complex recovery phrases, offering beginners the same peace of mind as traditional banking.

Convenience is key to DeFi adoption. BenPay innovatively integrates zkLogin, a one-click login system that lets users access their self-custodied on-chain wallets directly via familiar social media accounts or email addresses. This design retains users’ full control over their assets (true "self-custody") while providing an onboarding experience as seamless as traditional Web2.

4. Transparent Risk Exposure and Multi-Strategy Options

BenPay DeFi Earn clearly displays the risk levels and expected APY of different products. From stablecoin-focused conservative options to diversified DeFi strategies offering potentially higher APY, you can choose based on your risk tolerance to achieve your yield goals.

In summary, BenPay DeFi Earn transforms complex DeFi operations into a one-click, low-barrier, and user-friendly on-chain yield experience.

User Guide: Three Easy Steps to Start Earning DeFi Yield

Getting started with DeFi earnings through BenPay only takes three simple steps:

1. Download and Register: Install the BenPay app or visit the BenPay official website. Use zkLogin to instantly create your BenPay wallet with just your email or social account.

2. Deposit Assets: Easily transfer assets like USDC or USDT into your wallet with one click, ready to participate in DeFi Earn.

3. Activate DeFi Earn: Navigate to the "DeFi Earn" section in the app, browse and select your preferred DeFi protocol, review the details, and confirm your deposit. From then on, your earnings will automatically accumulate and be visible in your account.

Conclusion: Embrace the Open Financial Future

DeFi earnings represent a more open and efficient way to grow your assets. While they are not without risks, platforms like BenPay turn complex technology into simple, accessible DeFi tools, allowing every user to participate with minimal barriers and take their first step toward building a personal on-chain asset portfolio. Ready to turn your idle cryptocurrencies into sustainable earnings? Download the BenPay app now and experience BenPay DeFi Earn to embark on your effortless on-chain yield journey.

This article is co-authored by BenFen × TX-SHIELD.

Privacy Payments Must Become Native Infrastructure at Chain-Level

In today's blockchain ecosystem, privacy is often treated as an optional add-on—implemented through standalone DApps or Layer 2 protocols. While this "plug-in" approach offers flexibility, it frequently introduces performance bottlenecks, ambiguous compliance boundaries, and fragmented user experiences.

The core thesis and product positioning of BenFen Chain is to fundamentally redefine privacy payments as a native, chain-level capability, directly embedded into the base layer of the public blockchain. Under this design, privacy is no longer an optional feature that requires additional integration or repeated transaction fees. Instead, it becomes a foundational service and platform-level capability that all upper-layer applications—particularly those within the stablecoin ecosystem—can invoke by default.

From TX-SHIELD’s design perspective, the significance of this approach lies in treating privacy not merely as a technical optimization, but as a foundational settlement primitive. Privacy, in this view, must be embedded at the protocol level to protect sensitive financial information while remaining verifiable, auditable, and compatible with institutional and regulatory requirements.

BenFen's privacy payment functionality will be deeply integrated with its ecosystem application BenPay, and will interoperate with native on-chain features such as stablecoin-based gas payments, sponsored transactions, and one-click issuance of real-world assets (RWAs). BenPay will comprehensively incorporate privacy capabilities across payments, trading, and account systems, providing standardized interfaces for cross-border settlement, everyday consumption, and payment scenarios, thereby accelerating the inclusive adoption and large-scale deployment of privacy payments.

At the same time, through its collaboration with core infrastructure provider TX-SHIELD, BenFen Chain natively embeds privacy mechanisms based on Multi-Party Computation (MPC) at the protocol level. This architecture delivers a new class of stablecoin settlement solutions for enterprise users—one that achieves high performance, compliance, and strong privacy guarantees simultaneously.

Why Must Privacy Payments Be Native at the Chain Level? The Performance–Security–Compliance Trilemma

Embedding privacy logic directly into the blockchain base layer is not merely a technical implementation choice. It is a deliberate response to the intertwined requirements of performance, security, compliance, and commercialization.

TX-SHIELD takes the view that privacy-preserving settlement must be verifiable and regulator-compatible by design; otherwise, privacy systems will remain fundamentally incompatible with institutional adoption.

1. Unified Performance and Cost: Eliminating the Overhead of "Plug-Ins"

Traditional add-on approaches, such as Layer 2 privacy protocols or mixers, typically require users to pay multiple fees and tolerate additional latency when assets move across chains, zero-knowledge proofs are generated, or cryptographic signatures are produced.

• By unifying privacy computation logic with the transaction settlement mechanism at the chain level, gas fees can be fully consolidated. This enables true "single-settlement, end-to-end privacy", avoiding the fragmentation of proof or signature costs across cross-chain or off-chain workflows that otherwise introduce repeated fees and delays.

• Such native integration directly satisfies the rigid enterprise-grade requirements for high performance and low costs.

2. Stronger Security and "Controlled Privacy"

Chain-level native capabilities allow for deep integration of node governance, remote attestation, and audit interfaces. This not only reinforces trust under a decentralized security model, but also enables a critical architectural principle: controlled privacy.

• Privacy execution remains protected by decentralized guarantees, while still supporting controlled pathways for selective disclosure when compliance requirements arise.

• Users and institutions can, when necessary, present audit proofs or regulatory information to authorized entities through selective disclosure mechanisms—achieving a practical balance between privacy preservation and regulatory obligations.

3. Regulatory-Friendly by Design

As global financial institutions continue to raise standards for compliance and risk management, compliance costs have become a major constraint on the large-scale adoption of Web3 systems.

• A chain-level native architecture allows compliance interfaces, such as selective disclosure, regulatory views, and audit credentials, to be designed in parallel with privacy functionality from the outset.

• This compliance-friendly native system significantly reduces backend integration complexity and regulatory friction, lowering both the compliance costs and onboarding barriers for institutional users.

Architectural Comparison: Chain-Level Native vs. Layer 2 vs. Plug-Ins

Stablecoins and Privacy Payments: Two Sides of the Same Coin and Their Inevitable Convergence in Digital Value Circulation

From the long arc of monetary history, TX-SHIELD observes that every major transition in payment paradigms has been driven by the renewed satisfaction of two fundamental demands: the stability and credibility of value, and the freedom and security of transactions. This pattern holds true from physical currency to bills of exchange, and later to electronic payments. Today, we stand at the threshold of the next payment revolution. The deep integration of stablecoins and privacy payments is the key to opening this door. This is not a simple combination of two independent technologies, but rather an inevitable convergence of two inseparable dimensions within the digital value circulation system. According to TX-SHIELD’s design philosophy, the convergence of stablecoins and privacy payments is not optional, but an inevitable requirement for achieving scalable and institution-grade digital value circulation. Stablecoins are emerging as the new global standard for payments and settlement, while privacy protection fulfills the non-negotiable requirement of transactional freedom. Like two sides of the same coin, they jointly define the future form of payments.

Historical Inevitability: Why Convergence Is the End State of Digital Payments

The foundation of the digital economy lies in the ability for value to flow through global networks with the same efficiency and minimal friction as information itself. Yet existing solutions all suffer from structural limitations:

• Traditional electronic payments: rely on centralized intermediaries. Cross-border transactions are expensive, and user data is monopolized by platforms, leaving little room for meaningful privacy protection.

• Stablecoins on transparent blockchains: as on-chain representations of fiat value, address the most fundamental problems of value measurement and settlement in the digital economy. They enable payments that are efficient, low-cost, and globally accessible. Stablecoin transaction volumes already account for a significant and continuously growing share of total on-chain activity, with particularly strong adoption in enterprise settlement and cross-border payment scenarios. However, value stability alone does not equate to complete trust. In fully transparent and traceable on-chain ledger environments, every transaction risks exposing commercial confidentiality. Advanced on-chain analytics tools can, within a very short transaction process—or even just a few key ones—accurately infer an enterprise wallet's business model, operating costs, and even strategic procurement and clearing behaviors, creating substantial competitive risks for businesses.

• Privacy coins: they address confidentiality concerns, but due to high price volatility and the lack of broad value anchoring, they are unable to function as reliable units of account or settlement media for payments.

As a result, history points toward an inevitable path: the native integration of stablecoins is the most effective payment instrument, with privacy payments, which safeguard transactional freedom. This convergence represents the unavoidable trajectory toward the maturation of payment systems in the digital era.

1 + 1 > 2: How Integration Creates a New Paradigm Beyond Any Single Technology

When stablecoins and privacy payments are deeply coupled at the base layer of BenFen Chain, the resulting synergy goes far beyond a simple addition of features.

From "Compliance Cost" to "Compliance Advantage"

From TX-SHIELD’s architectural perspective, traditional privacy solutions often conflict with regulatory requirements, forcing a difficult choice between "transparent exposure" and "non-compliant privacy". By natively integrating privacy payments and stablecoins at the chain level and embedding a controlled privacy mechanism, BenFen Chain enables enterprises to conduct fully compliant stablecoin payments while protecting transaction details by default. Only when required by regulators—such as during audits or judicial investigations—are proofs provided through selective disclosure mechanisms. This architectural shift transforms privacy from a perceived "compliance risk" into a "compliance and business competitive advantage".

From "Limited Use Cases" to an Ecosystem of "Unlimited Possibilities"

The convergence of stablecoins and privacy payments unlocks a wide range of business scenarios that were previously impractical due to privacy constraints or payment inefficiencies:

• A Paradigm Shift in Global Payroll and Supply Chain Finance

Multinational enterprises can use stablecoins to distribute salaries to employees worldwide in real time, protecting personal privacy while leveraging programmability for customized financial processing. Within supply chains, core enterprises can establish "auditable privacy settlement networks", where stablecoin transaction flows between upstream and downstream participants are encrypted from the public, yet the compliance of the entire network can be collectively demonstrated to regulators—significantly improving capital efficiency and risk control.

• The Institutional Upgrade of DeFi

Traditional DeFi has long been criticized by institutions for the transparency of trading strategies. On BenFen Chain, a new class of "privacy-first", institution-grade DeFi can emerge—such as confidential lending protocols and DEXs designed to prevent frontrunning and MEV exploitation. Large institutional capital can enter the ecosystem while safeguarding strategic intent, bringing unprecedented depth and liquidity to DeFi markets.

• Next-Generation Consumer Applications and the Data Sovereignty Economy

Users can pay for subscriptions and purchase digital goods with stablecoins, while their consumption patterns, identity data, and asset holdings remain effectively protected—realizing the principle of "payments as a service, without data exhaust." This lays the foundation for Web3 business models built on genuine data sovereignty.

Stablecoins and privacy payments are the two core engines driving on-chain economies toward maturity and large-scale adoption. The distinctive positioning of BenFen Chain lies in its deep coupling of these two engines, creating a public-chain infrastructure purpose-built for high-frequency, high-value payment scenarios. Choosing BenFen Chain means choosing a compliant, secure, and high-performance stablecoin payment ecosystem, and stepping directly into the next phase of digital payments.

BenFen Chain: The "Highway" Born for Privacy Payments

Building a blockchain network capable of supporting large-scale, enterprise-grade privacy payments requires overcoming the performance overhead and economic friction introduced by privacy computation at the base layer. The full-stack system, co-developed by BenFen Chain and TX-SHIELD—spanning programming languages, consensus mechanisms, and economic models — is designed to systematically remove these barriers, establishing a triple foundation of security, efficiency, and usability for institutional privacy payments.

3.1 Move Language: "Mathematical-Level Trust" for Privacy Assets

The core of privacy payments lies in safeguarding on-chain assets and ensuring the correct execution of operations. BenFen Chain adopts the Move programming language, designed specifically for digital assets, providing security guarantees far beyond comparable languages at the foundational level.

• Intrinsic Security Guarantees: Move's strict type system and unique resource management mechanism prevent common, critical smart contract vulnerabilities—such as reentrancy attacks or resource exhaustion—at compile time. This ensures that the core contract logic governing privacy assets is rigorous, and that asset states remain precise and well-defined.

• Reliability Assurance: Through the Move Specification Language (MSL), smart contracts can explicitly define preconditions, postconditions, and invariants, describing from the source level how the program should behave correctly. During compilation, these specifications are translated into Boogie language expressions and verified by an automated theorem prover. This process allows contracts to be mathematically validated for safety and correctness before deployment, minimizing runtime errors and vulnerabilities, and creating an on-chain execution environment that is verifiable, predictable, and trustworthy.

3.2 High-Performance Consensus: Harnessing Computing Power to Overcome the "Performance Tax" of Privacy Computation

Privacy computation inherently introduces computational overhead and latency. To support high-frequency commercial use cases, top-tier performance is essential. BenFen Chain's innovative DAG-based hybrid consensus successfully addresses this challenge.

• Sub-Second Latency and Tens of Thousands of Transactions Per Second: By differentiating transaction types, transactions that do not involve shared objects are processed via a "fast path". This enables transaction processing times under 0.5 seconds and sustained throughput of 10,000+ TPS. Such performance ensures that even computation-intensive privacy transactions feel "instantaneous", fully meeting the real-time requirements of commercial settlement.

• Exceptional Robustness and Availability: The consensus mechanism provides high fault tolerance, allowing the network to operate stably even if some validator nodes fail. This 24/7 uninterrupted availability is a key factor in delivering privacy payment services with reliability comparable to traditional financial infrastructure.

3.3 Stablecoins as "First-Class Citizens": Eliminating Economic Friction

One of the most revolutionary design features of BenFen Chain is the elevation of stablecoins to "first-class citizen" status at the public chain level. This serves as the economic foundation for removing user barriers and enabling large-scale adoption.

• Native Integration, Payments with Privacy by Default: Privacy payments operate directly on BenFen Chain's native stablecoins, without the need for complex cross-chain bridges or wrapped assets. This achieves atomic-level integration of payment and privacy at the chain layer, completely eliminating intermediary steps that introduce additional security risks and friction.

• Web2-Level Smoothness: Users can pay transaction fees directly in stablecoins, without needing to acquire or hold native tokens for gas in advance. This design lowers the entry barrier for privacy payments to a minimum, delivering a user experience as seamless and intuitive as Web2 tools, and is key to driving large-scale commercial adoption.

3.4 Modularity and Universality: Flexibility for the Future Privacy Payment Ecosystem

Leveraging the modular design and advanced abstraction capabilities of the Move language, BenFen Chain provides high flexibility and reusability for the development of upper-layer privacy payment applications.

• Secure Modular Reuse: Developers can reuse formally verified security modules like building blocks, enabling rapid construction of complex privacy payment logic.

• Universality and Future Compatibility: Although BenFen Chain centers on stablecoins, its underlying architecture and Move modules support general-purpose privacy payment capabilities, compatible with any type of asset. This flexibility ensures that the infrastructure not only meets current stablecoin payment needs but also adapts to evolving commercial scenarios and future innovations.

BenFen Chain is not a public blockchain with privacy as an afterthought. It is an infrastructure deeply customized for privacy payments. Its full-stack technology choices—from the secure Move language, high-performance DAG consensus, to frictionless native stablecoin integration—together form a top-tier foundation that delivers comprehensive support for security, performance, usability, and user experience, enabling the next generation of privacy payments.

How BenFen Chain Enables Privacy Payments

BenFen Chain's privacy payment functionality, developed in collaboration with TX-SHIELD, is designed to provide users with a seamless experience while ensuring the confidentiality of critical information. The design implements a complete closed loop—from the private creation of assets, to secure value transfer, and finally to controlled viewing and redemption. Through technical integration with TX-SHIELD, privacy protection becomes a foundational feature of the payment system, rather than an add-on.

Creation of Privacy Assets: One-Step Privacy from Deposit

BenFen Chain's architecture preconfigures privacy options, allowing users to decide whether to deposit tokens in privacy form at the moment of funding, eliminating multi-step processes and providing a smoother experience.

Detailed Process:

1. Initiate a Privacy Deposit or Privacy Token Conversion:

When selecting a token to deposit in the wallet, users can simply check the "Deposit as Privacy Token" option. Alternatively, users can initiate an "Asset Encryption" transaction through their wallet, specifying the tokens and amounts they wish to convert into privacy form.

2. Asset Locking:

Once the transaction is confirmed by the network, a specialized smart contract automatically locks the converted tokens, providing the value backing for the soon-to-be-created privacy asset.

3. Value Sharding:

Network validator nodes receive the value and use their internal shared keys and encryption algorithms to convert it into a set of unique, non-patterned data shards.

4. Proof Generation:

The system creates a new "privacy asset" object for the user and stores the newly generated data shards within it.

5. Completion:

After the transaction is recorded on-chain, the user's public tokens are locked, and an equivalent privacy asset exists in encrypted shard form, with its real value no longer visible on-chain.

This "deposit-to-privacy" mechanism eliminates the barrier to acquiring privacy assets, making privacy protection the default option for on-chain operations rather than a complex, additional process.

Privacy Payments

Once users hold privacy assets, they can make payments without exposing transaction details. The following example illustrates the core process when User A pays User B:

1. Transaction Construction:

User A's wallet creates a transaction, specifying B as the recipient and setting the payment amount. It then sends an authorization request to a trusted validator node, requesting that the payment amount be processed into temporary encrypted shards.

2. Network Submission:

The wallet packages all necessary information to execute the transaction and submits it to the network. The transaction includes A's current balance shards, B's current balance shards, and the encrypted shards representing the transaction amount obtained in the previous step.

3. Backend Computation:

Upon receiving the transaction, the network validator nodes use shared keys to decrypt and compute the three sets of shards. The results are then re-encrypted into new encrypted shards.

4. State Update:

The computation generates two sets of new data shards—one representing A's updated balance and the other representing B's updated balance. These new shards are then updated in the respective privacy asset objects of A and B.

5. Transaction Completion:

Once the transaction is recorded on-chain, the value transfer is complete. To other on-chain users, they can observe that the privacy asset objects of A and B have changed, but the specific transaction amount remains undisclosed.

Viewing and Redeeming Privacy Assets

1. Initiate Request and Sign:

Users send a request to a trusted network node via their wallet. The request includes a digital signature generated with the user's private key to prove ownership.

2. Identity Verification:

Upon receiving the request, the node verifies the signature to confirm that the requester is the legitimate owner of the privacy asset as recorded on-chain. This step prevents unauthorized access by other users.

3. Off-Chain Reconstruction:

Once verified, the trusted node reads the encrypted shards of the user's asset from the chain and reconstructs the actual balance in its local memory using shared keys, making it readable for the user.

4. Secure Return or Redemption:

   1. Viewing: The reconstructed balance is securely sent back to the user's wallet front-end through an encrypted channel for display.

   2. Redemption: Users can authorize a transaction to destroy their privacy asset credentials on-chain. Once the network confirms the destruction, the original amount of locked public tokens is automatically released and returned to the user.

BenFen Chain's privacy payment system forms a complete, verifiable, and regulator-friendly privacy payment loop through three stages: deposit-as-privacy, encrypted shard circulation, and controlled transparent redemption. This system is not an external plug-in or protocol-layer add-on; it is a native, base-layer capability of the public chain. It makes privacy protection the default option, ensures stablecoin settlements are confidential by design, and allows enterprises and individuals to achieve truly private payments under compliance constraints. On BenFen Chain, privacy is no longer an "extra safeguard"; it is an integral part of payment itself.

Core Technologies of BenFen Chain Privacy Payments

From TX-SHIELD’s system design perspective, privacy preserving settlement must be constructed as a verifiable cryptographic process rather than a black-box execution environment, ensuring both confidentiality and auditability at scale.

Confidential transaction system architecture is based on FAST MPC and regulatory Intervention.

BenFen Chain's privacy payments, developed in collaboration with TX-SHIELD, represent a systematic innovation that integrates blockchain technology (Block Node), Fast Multi-Party Computation (FAST MPC), and regulatory compliance mechanisms (Regulator). This architecture enables "data usable but not visible" asset transfers within a distributed network, combining confidentiality, compliance, and operational efficiency in a unified system.

I. Core System Objectives

The primary goal of the system is to resolve two fundamental tensions in traditional blockchain transactions: privacy protection and regulatory compliance. Privacy Protection: The system ensures that when User A transfers assets to User B, sensitive information such as transaction amounts and participant identities is never exposed in plaintext on-chain, maintaining the confidentiality of transaction details. Regulatory Compliance: While protecting privacy, the system also incorporates mechanisms that allow authorized regulators to securely and controllably access and audit transaction details under specific circumstances. The specific implementation of this functionality through FAST MPC will be detailed in subsequent sections. Currently, in the released version, all privacy payments on BenFen Chain are implemented using MPC. However, a more advanced and versatile version, combining MPC and Fully Homomorphic Encryption (FHE), will be gradually introduced in future iterations, offering enhanced functionality and greater flexibility.

II. Key Technical Components

The system consists of several core components: Block Node, Fast Multi-Party Computation (FAST MPC), and Key Shards (Key_shard). The following provides an overview:

1. Block Node

The Block Node serves as the core of the distributed ledger system, responsible for transaction validation, consensus, and storage. All transactions—whether Plain TX or Confidential TX—must be processed by these nodes.

2. Fast Multi-Party Computation (FAST MPC)

FAST MPC is the core technology for achieving privacy protection in the system. MPC allows participants to jointly compute a predefined function without revealing their individual inputs. The term "FAST" emphasizes that this MPC scheme has been optimized for performance and efficiency, meeting the high-throughput requirements of blockchain networks. The MPC module runs within the Block Node and primarily handles Key_shards and User Private Meta Data, used for generating or verifying confidential transactions. In the initial version of BenFen Chain, FAST MPC's functionality is relatively limited. However, through research conducted by STL, more advanced MPC versions integrating other cryptographic protocols such as Fully Homomorphic Encryption (FHE) have been explored. These enhanced versions provide additional functionality, increase transaction privacy and security under regulatory constraints, and enable faster and more convenient batch operations.

3. Key Shards (Key_shard)

Key Shards are critical for data security and regulated access, and are generated by the FAST MPC module. A user's private metadata is encrypted or split into multiple key shards, which are held by different entities (e.g., Block Node and Regulator). Only by combining Key_shards from different sources (e.g., from the Block Node and the Regulator) can the core User Private Meta Data be accessed or decrypted.

III. Detailed Process

1. Initiate a Normal Transaction: The user initiates a Normal Plain TX to transfer assets.

2. Generate Confidential Transaction: The transaction enters the Block Node. The system's FAST MPC module uses its held Key_shards to process the User Private Meta Data, producing an encrypted Confidential TX. This confidential transaction is then sent back to the Block Node for on-chain recording.

3. Regulatory Intervention Point: The Regulator is a special participant in the system and holds Key_shards.

4. Transaction Disclosure: When a transaction requires regulatory review or audit, the Regulator initiates a Disclose TX request. This request combines the Regulator's Key_shard with the User Private Meta Data. Specifically: a. The Regulator's shard combines with the Block Node's shard to reconstruct or access the User Private Meta Data. b. Only when the regulatory process is triggered and the Regulator's authority is verified can the contents of the Confidential TX be conditionally and controllably disclosed via MPC or decryption mechanisms.

Highlights and Differentiated Advantages of BenFen Chain Privacy Payments

As blockchain moves toward mainstream adoption, privacy and user experience are often difficult to reconcile. BenFen Chain elevates privacy payments from an "optional feature" to a native, chain-level capability. Through a combination of protocol-level and product-level innovations, it significantly lowers the adoption barrier while meeting institutional compliance requirements. The following outlines the core highlights and differentiated advantages of BenFen Chain's privacy payment system.

Comprehensive Privacy Protection

Privacy protection on BenFen Chain extends beyond asset amounts to encompass all sensitive dimensions of a transaction, leveraging cryptographic primitives to provide tiered protection.

• Full Transaction Data Obfuscation

  • Core Technology: Deeply integrated MPC protocols and zero-knowledge proofs. Transaction initiators collaborate with participants off-chain using MPC to generate the transaction. During this process, all critical fields—including input/output amounts, sender/receiver addresses, and asset types—are converted into encrypted states or commitments, with only the final valid state changes committed to the blockchain. Network nodes can verify the correctness of state transitions but cannot infer any underlying transaction details, effectively eliminating the possibility of on-chain data analysis.

• Batch Privacy Transactions and Collective Settlement

  • Core Technology: MPC batch processing with verifiable encryption and aggregate signatures. By embedding verifiable random functions into the MPC protocol, a batch of transactions is assigned a single, batch-verifiable anonymous identifier. Validators can then verify the legality of the entire batch in one operation, rather than processing each transaction individually.

• Private Asset Transfers

  • Core Technology: Key-based encryption and access control. Each encrypted transaction record is associated with one or more symmetric/asymmetric keys. Only participants holding the corresponding decryption keys can access the transaction details. This restores data ownership, ensuring that transaction records are private journals accessible only to relevant parties, rather than public ledger entries.

• Temporarily Authorized Visibility

  • Core Technology: Attribute-based encryption (ABE) or proxy re-encryption. When transaction information needs to be provided to auditors, regulators, or judicial authorities, the key owner can grant access without exposing all private data. By generating a time-limited, scope-specific access token or performing a one-time proxy re-encryption, a third party can decrypt designated transactions for a specified period. Access automatically expires once the authorization period ends.

Built-In and Programmable Regulatory Compliance

Regulatory compliance on BenFen Chain is not an after-the-fact external add-on, but a core, protocol-level feature designed to balance privacy protection and regulatory oversight.

• Selective Disclosure

  • Core Technology: Zero-Knowledge Proofs (ZKP) and layered key systems. Different transaction attributes are encrypted and controlled by separate keys or ZKP systems. Users can selectively disclose specific information according to regulatory or business requirements, without exposing all data. For example, a user can prove to a tax authority that a transaction amount meets a threshold without revealing counterparty details.

• Enterprise-Grade Audit Node Authorization

  • Core Technology: Threshold signatures and dynamic permission management. Enterprises can predefine audit policies, distributing access keys for certain transaction data to designated audit nodes in a threshold manner via smart contracts or off-chain protocols. Keys can only be reconstructed and accessed when predefined conditions are met, ensuring internal governance while preventing abuse of unilateral power.

• Protocol-Level Embedded Compliance Interfaces

  • Core Technology: Modular cryptographic suites and standardized regulatory APIs. MPC, FHE, ZKP, and other cryptographic components are integrated into consensus mechanisms and state transition functions, rather than invoked as external APIs. Regulatory rules can be executed through verifiable computation either off-chain in the MPC phase or on-chain in smart contracts, ensuring compliance checks are automated without leaking private data.

• Legally-Governed Decryption Threshold Mechanism

  • Core Technology: Distributed key generation and threshold decryption. The system predefines a regulatory public key controlled by multiple parties, with the corresponding private key split and held in a threshold manner. Only upon obtaining a legitimate judicial order can these independent parties collaboratively execute the threshold decryption protocol to reconstruct the master key and decrypt the transaction history of specific addresses. This process is transparent, auditable, and multi-party, preventing unilateral surveillance.

High-Performance Architecture and Implementation

Through cryptographic innovations and system architecture optimizations, BenFen Chain addresses the performance bottlenecks of traditional privacy technologies.

• Enhanced MPC and Advanced Cryptography Fusion Architecture (Planned Implementation)

  • Core Technology: FHE-MPC hybrid model and recursive composition proofs. A layered cryptographic architecture is planned: At the base layer, Fully Homomorphic Encryption (FHE) enables computation on encrypted data, ensuring that data remains encrypted throughout the process. At the upper layer, MPC protocols coordinate FHE computations and handle complex logic and conditional operations. Recursive zero-knowledge proofs aggregate multiple transactions or state updates into a single, compact proof, significantly reducing on-chain storage and verification costs, achieving fully encrypted sharding and recovery.

• Second-Level Privacy Confirmation Time

  • Core Technology: Currently, all computations are performed online, but future implementations will adopt a two-phase offline/online computation with pipelining optimizations. Most computation-intensive operations are completed offline, leaving only lightweight verification, signing, and consensus tasks for the online phase. This design decouples on-chain confirmation time from transaction complexity, allowing second-level confirmations regardless of backend computation load. Benchmark tests indicate that, on standard commercial hardware, the system conservatively supports 1,000+ privacy transactions per second, with potential orders-of-magnitude performance improvements through algorithm optimization and hardware acceleration—fully meeting the needs of high-frequency financial applications.

Internal benchmarks suggest the architecture is capable of supporting high-throughput privacy transactions, with significant scalability potential as optimizations continue.

Exceptional User Experience

Privacy features in traditional blockchains are often "add-on" solutions, requiring users to learn extra operational steps. BenFen Chain, however, is designed to make privacy protection a seamless, default experience.

Simple, One-Step Operations: Performing a privacy transfer is identical to a regular transfer. Users simply enter the recipient address and amount in their wallet and confirm—the privacy protection is automatically executed in the background, eliminating the need for additional learning. This design aligns with industry efforts to enhance blockchain usability.

Unified Entry Management: Users do not need multiple wallets or plugins. Both public and privacy assets are managed seamlessly under a single wallet address, with balances easily viewable at any time. This unified approach greatly simplifies asset management.

Preconfigured Privacy Choice: Designs such as "Deposit-as-Privacy" move the privacy selection upfront to the deposit stage, making privacy protection the starting point of the user journey, rather than an after-the-fact option.

Native Ecosystem Integration: Upper-layer applications—including the BenPay ecosystem, RWA issuance, and DeFi protocols—can natively invoke privacy modules for seamless access. For example, in BenPay DeFi Earn, deposits, share changes, and redemptions are all processed through BenFen's native privacy modules. Operations are provably correct, yet external observers cannot see user positions, yield amounts, or rebalancing activity, making BenPay DeFi Earn a privacy-protected DeFi entry point. With BenPay Card, online or offline payments encrypt amounts, payment paths, and account information, ensuring merchants cannot view on-chain asset holdings and observers cannot construct spending profiles. This delivers privacy-preserving stablecoin payments and a truly usable Web3 consumer experience.

Thanks to Layer 1 native privacy design, the ecosystem maintains a consistent, seamless privacy experience across payments, trading, consumption, and asset management.

BenFen Zero Gas Fee Experience

Gas fees are one of the major barriers for ordinary users entering the Web3 world, especially when using computationally intensive privacy features. BenFen Chain redefines transaction cost structures through protocol-level innovations.

Sponsored Transactions: At the protocol level, BenFen Chain separates the roles of "transaction initiator" and "gas payer". This allows projects or merchants to directly cover gas fees for users, in a process that is simple, secure, and efficient. For users, this means they can use privacy payments without worrying about or paying gas fees.

Gas Payment with Stablecoins: Users can also pay gas fees directly using the native stablecoins within the system, without needing to hold additional tokens. This simplifies asset management and further lowers the entry barrier for privacy-enabled transactions.

BenFen Native Stablecoin Architecture

Unlike stablecoins issued via smart contracts, BenFen Chain treats stablecoins as "first-class citizens" at the chain layer, providing a robust and reliable foundation for privacy payments.

Chain-Native, Security-First: As native assets at the base layer of the public chain, these stablecoins do not rely on smart contract logic, fundamentally avoiding contract-related vulnerabilities and offering higher security.

BenFen Ecosystem Scalability

The value of a technology is determined by the vibrancy of its ecosystem. BenFen Chain's open design lowers the entry barriers for developers and merchants.

Standardized Integration: The platform provides comprehensive SDKs and well-documented APIs, enabling third-party wallets, merchant systems, and cross-chain bridges to quickly integrate privacy payment functionality, significantly reducing development costs.

Support for Decentralized Commerce: Both centralized e-commerce platforms and decentralized DApps can rapidly deploy privacy payment modules using the tools provided by BenFen Chain, offering users a broader range of payment options. The successful integration of BenPay demonstrates the practical viability of this approach in real-world payment scenarios, providing a template for future commercial applications.

Batch Privacy Payments

For high-frequency, multi-recipient scenarios such as enterprise payroll, project airdrops, and community rewards, BenFen Chain's batch privacy payment functionality combines efficiency with privacy.

Enhanced Efficiency: Users can distribute privacy assets to hundreds or even thousands of addresses in a single operation by selecting groups or uploading Excel templates, eliminating the need for tedious individual transactions.

Privacy and Compliance Assurance: All batch transactions are executed within a privacy-computing environment, ensuring that each transaction amount and recipient information remains fully confidential. This protects the privacy of recipients while maintaining the confidentiality of the sender's financial data.

Privacy Payments for Any Token

Oracle Support: BenFen Chain's privacy payment mechanism is not restricted to specific asset types. Any asset that supports the system's settlement and accounting capabilities can be integrated into the privacy payment framework. Users can freely convert tokens into privacy-enabled forms, enabling one-click private transfers and receipts.

BenFen Chain's privacy payment system encapsulates complex privacy technologies within a simple user experience. Its revolutionary zero gas fee model removes adoption barriers. The native stablecoin integration at the base layer establishes a foundation of security and global usability. Combined with an open ecosystem and highly efficient batch capabilities, the system extends its utility across personal and enterprise scenarios.

This represents the maturity of a complete solution that balances privacy, usability, and scalability. It is not only a technological breakthrough but also a critical step toward mainstream adoption of blockchain privacy payments.

BenFen Chain's privacy execution capabilities are natively integrated at the chain layer based on TX-SHIELD's underlying cryptographic architecture, forming the foundation for stablecoin privacy settlement infrastructure. As the ecosystem evolves, further enhancements in confidential execution, regulatory-compliant architecture, and enterprise-grade payment scenarios will continue to drive the large-scale adoption of privacy settlements in financial and commercial applications.

Confidential execution refers to performing settlement and state transitions over encrypted data without exposing transaction details.

TX-SHIELD is an independent privacy preserving settlement infrastructure designed to be chain-agnostic and institution-ready. BenFen Chain represents its first deep, native integration at the Layer-1 level.

About BenFen

BenFen Chain is a high-performance public blockchain specifically designed for stablecoin payments. Built on the Move programming language, it provides a secure, low-cost, and highly scalable base-layer network. A key feature of BenFen is the ability for users to pay gas fees directly with stablecoins, significantly lowering the adoption barrier and paving the way for large-scale applications.

On top of its powerful cross-chain and stablecoin settlement capabilities, BenFen Chain supports a rich ecosystem of applications covering diverse payment scenarios. More importantly, it offers enterprise users crucial privacy payment options, ensuring that while benefiting from blockchain efficiency, their core business data remains protected.

BenFen aims to become a global stablecoin circulation network serving enterprise payroll, cross-border payments, e-commerce, and offline merchants, representing a next-generation financial infrastructure that balances efficiency, cost, and security.

About TX-SHIELD

TX-SHIELD is a regulatable on-chain privacy settlement infrastructure that provides both-party privacy and regulatory-visible payment and settlement capabilities for stablecoins and blockchain applications.

Core Solution:

TX-SHIELD: A privacy settlement infrastructure for blockchain-native financial systems, enabling confidential settlement, dark pools, and protocol-layer privacy execution.

Our Innovation:

We not only protect privacy at the transaction level, but also redefine asset ownership and security through distributed cryptography. TX-SHIELD enables enterprises and financial institutions to perform joint custody, private settlement, and regulatory-compliant audits without exposing sensitive business information.

We are building an infrastructure where privacy is no longer an obstacle to regulatory compliance or institutional adoption, but a foundational protective layer for financial settlement.

TX-SHIELD — The private and regulatable settlement base layer for stablecoins, blockchain, and enterprise applications.

What is Passive Income in DeFi (And Why It Matters)

In the traditional financial world, passive income might come from rental properties or stock dividends. In decentralized finance (DeFi), it refers to the yield or interest your crypto assets can earn simply by being put to work on the blockchain.

Understanding On-Chain Yield vs. Traditional Savings

When you deposit money in a savings account, the bank lends it out and gives you a small fraction of the interest. DeFi flips this model. By using smart contracts, you can directly lend your assets to others, provide liquidity for trading pairs, or stake in secure networks. In return, you earn a yield, often significantly higher than traditional banks, because you're cutting out the middleman. This is the core of earning from DeFi.

The Rise of Accessible DeFi in 2025

The narrative has shifted. DeFi crypto earn opportunities are no longer just for technical traders. In 2025, the focus is on accessibility, user experience, and integrated security. Products are being built to abstract away the complexity, allowing anyone with a smartphone to tap into the potential of on-chain stablecoin yield and other earnings.

The Main Challenges for Beginners Wanting DeFi Earnings

The potential is vast, but the initial hurdles are real. Here are the key pain points new users face:

Why Is DeFi So Complicated for New Users?

Complexity and Technical Barriers

Navigating a DeFi staking platform or liquidity pool requires understanding wallets, transactions, approvals, and concepts like impermanent loss. One wrong click can lead to lost funds. For someone looking for simple best DeFi earnings, this learning curve is the biggest deterrent.

Is DeFi Passive Income Safe?

Security Concerns and Protocol Risks

The "do your own research" (DYOR) mandate is heavy. Beginners must audit smart contract code, assess team credibility, and monitor for exploits. The fear of placing funds into a fraudulent or poorly audited protocol is a significant barrier to starting DeFi crypto earn activities.

Do Gas Fees Reduce DeFi Profits?

High Gas Fees That Eat Into Profits

Every transaction on a blockchain—depositing, claiming rewards, withdrawing—costs a "gas" fee. For smaller investments, these fluctuating fees can completely erase any profit, making earning interest on crypto strategies inefficient.

(Visual Suggestion: A flowchart comparing the 10+ steps of traditional DeFi yield farming vs. the 3-step process with BenPay DeFi Earn.)

How BenPay DeFi Earn Simplifies On-Chain Yield

BenPay DeFi Earn is a beginner-friendly DeFi earn platform designed to provide a seamless experience for earning passive income with DeFi. It functions as a yield aggregator, allowing users to have access to curated DeFi protocols through a single interface.

One-Click Yield Generation

Gone are the days of manual protocol hopping. You simply click, and select a DeFi protocol that matches your risk preference, and deposit. The complex interactions with the underlying cross-chain and exchange operations are handled in the background, making earning passive income with DeFi as simple as a few taps.

Zero Gas Fee Architecture

One of the standout features for anyone looking to earn from DeFi efficiently. BenPay's infrastructure aggregates user transactions, meaning you don't pay network gas fees for deposits or withdrawals. What you earn is much closer to what you keep, maximizing your DeFi crypto earn potential.

Curated & Risk-Verified Protocols

Security is paramount. The team behind BenPay DeFi Earn does the heavy lifting of due diligence, selecting only top DeFi protocols (like Solana, AAVE, and Compound) with strong security audits and proven track records. This provides a crucial safety layer for beginners seeking the best DeFi earnings without the research burden.

Multi-Chain Support for Diverse Assets

Your assets aren't limited to one blockchain. BenPay DeFi Earn connects to yield opportunities across multiple networks, allowing you to earn interest on crypto wherever it resides, maximizing your options for earning passive income with DeFi.

Step-by-Step: How to Start Earning with BenPay DeFi Earn

Getting started with your passive income with DeFi journey is straightforward and secure. Here’s how beginners can earn passive income with DeFi using BenPay in 4 simple steps:

1. Create & Connect Your Wallet If you don't have one yet, start by creating your BenPay wallet. We recommend a seamless login via email, ZK Login, Google, or Apple account. Simply visit the BenPay official website, click “Connect Wallet," and follow the prompts. Your gateway to DeFi crypto earn opportunities begins with this secure, all-in-one Web3 Super App. (For detailed instructions, refer to our guide: How to Create Your BenPay Wallet?)

2. Deposit Stablecoins for Investment Once connected, prepare your capital. You can directly deposit USDC or USDT into your BenPay wallet from multiple supported networks including ETH, BSC, Polygon, and Solana. These are seamlessly converted at a 1:1 fixed ratio into BUSD—a, a dollar-pegged stablecoin issued by BenFen—ready to generate stablecoin yield. The minimum investment starts from 100 BUSD. (Learn more about the process: How to Make a Cross-Chain Deposit?)

3. Choose Your Investment Product Navigate to the DeFi Earn platform. Browse the list of available yield products, each representing a curated DeFi staking platform strategy. Select the product that matches your risk preference and return expectations, and click the “Invest” button to proceed.

4. Confirm and Start Earning A confirmation window will pop up. Enter the amount of BUSD you wish to invest, click “Confirm,” and authorize the transaction with your wallet password. Once confirmed, your assets immediately begin working. You can then monitor your accumulated DeFi earnings in real-time within your BenPay dashboard.

Important Note: This process is designed for simplicity and accessibility, abstracting away the complex mechanics of underlying DeFi protocols. Returns are variable; APY figures are based on historical data and do not guarantee future earnings.

Realistic Earnings: A Sample Scenario

Let's make it tangible. Imagine you want to start earning a stablecoin yield with a moderate-risk profile using a reliable DeFi Earning.

• Asset: You deposit 5,000 USDT into a BenPay DeFi Earn product.

• Estimated APY: The product shows a historical APY of 13.84%.

• Potential Earnings: At this rate, you could earn approximately 57.67 USDT in interest after one month, or about 692 USDT over a year, not accounting for compounding. This demonstrates the real potential of earning passive income with DeFi.

• The Power of Compounding: If you reinvest your earnings, your growth accelerates over time, creating a powerful cycle of DeFi crypto earn potential.

Important Note: This is an illustrative example based on historical data. APYs in DeFi are variable and not guaranteed. Always understand that yields can fluctuate with market conditions when pursuing the best DeFi earnings opportunities.

Start Your Passive Income Journey Today

Earning passive income with DeFi in 2025 no longer requires navigating a maze of complexity and risk. Platforms like BenPay DeFi Earn have democratized access by removing gas fees, vetting protocols, and packaging everything into a simple, one-click experience. It represents what best DeFi earning platforms now strive for: simplicity, security, and efficiency.

Ready to put your crypto to work? Start earning a competitive yield today with BenPay DeFi Earn. [Sign up now, deposit your crypto, and watch your assets grow seamlessly.] Begin your journey to passive income with DeFi in the most straightforward way possible.

And once you're earning a yield, discover how to use it effortlessly in the real world with the BenPay Card—completing your all-in-one Web3 financial ecosystem for earning, storing, and spending.

Risk Disclosure:This content is for informational purposes only and does not constitute financial advice. Any mentioned returns (e.g., APY) are based on historical data and are not indicative of future performance. Please conduct your own research (DYOR) before investing.

Blockchain transparency is the cornerstone of its trust model. Yet today, this very feature of radical openness has become one of the greatest obstacles to large-scale adoption. For the Web3 vision, transparency is a "double-edged sword": it delivers verifiable trust, but at the cost of commercial confidentiality, personal financial privacy, and regulatory flexibility.

For enterprises, every on-chain settlement risks exposing critical supplier relationships, procurement costs, and compensation structures to competitors. For individual users, each on-chain payment permanently records and publicly reveals their spending behavior, asset holdings, and social relationships. For regulators, the challenge lies in finding a new equilibrium between "protecting public privacy" and "fulfilling financial compliance responsibilities".

Transparency should not come at the expense of fundamental privacy. BenFen Public Chain (powered by TX-SHIELD) is officially launching its privacy payment functionality. This marks a paradigm shift—from an era of "trust through disclosure" to a new model of "trust through privacy." This article will be presented in two parts. The first part explores how privacy payments address the pressing challenges faced today by businesses, individuals, and regulators. The second part looks ahead, unfolding a broader vision of the future: how, with privacy as a foundational layer, we can collectively build a comprehensive on-chain ecosystem—ranging from decentralized dark pools and confidential voting to sealed-bid auctions, and ultimately, entirely new forms of social collaboration.

TX-SHIELD is a technology company specializing in privacy payment algorithms. It provides one-stop, regulation-friendly and privacy-preserving solutions for public blockchains, stablecoin issuers, and decentralized exchanges (DEXs). www.tx-shield.com

Addressing Today's Pain Points: Urgent Applications and Deep Dive into Privacy Payments

For B2B Enterprises: Privacy Payment as a Strategic Tool for Competitive Advantage and Compliance

1. Protecting Payroll Privacy: Using Deel as an Example of a "Strategic HR Tool"

In modern enterprises, particularly in the context of global talent competition among multinational companies, payroll systems are a core strategic component. However, when companies attempt to leverage transparent blockchain technology for payroll disbursement, they face a critical challenge.

Take Deel, the global payroll management platform and one of the fastest-growing SaaS companies in history, as an example. Deel's core business lies in processing employee payments across the globe. The company has actively embraced blockchain technology: through its "Deel Crypto" service, it allows global employees and contractors to instantly withdraw payments in cryptocurrencies such as Bitcoin and USDC, effectively addressing the slow speed and high costs associated with traditional cross-border wire transfers. Yet, the very adoption of blockchain for payment efficiency exposes Deel to a severe transparency challenge.

For Deel and its tens of thousands of client companies, using a fully transparent blockchain for payroll would mean that every on-chain payment permanently reveals clients' salary structures, compensation levels across countries and roles, and even individual employee incomes to the public. This exposure could trigger internal payroll conflicts, facilitate competitive poaching, and, most critically, leak Deel's core commercial asset—its global payroll database—threatening the very foundation of its multi-billion-dollar valuation.

This real-world scenario highlights a clear and urgent demand on the enterprise side: global companies like Deel, which are early adopters of blockchain for efficient payroll, as well as numerous organizations seeking high-efficiency, transparent payroll management, require a payment solution that simultaneously: It must be capable of handling global salary payments efficiently, accurately and immutably by leveraging blockchain technology, and at the same time, like traditional financial systems, absolutely guarantee the commercial confidentiality of salary data to prevent catastrophic data breaches caused by the transparency of payment tools.

Already, pioneering Web3 companies and DAOs have successfully implemented payroll using privacy-focused technologies such as Zcash or the Aztec Network, demonstrating both the feasibility and necessity of privacy payments in payroll management. These practices suggest a paradigm shift: payroll confidentiality is evolving from a "contractual commitment" relying on systems and trust to a "cryptography-based technical guarantee", marking a natural progression in modern enterprise management—particularly for globalized companies.

BenFen Chain (www.benfen.org) has launched its privacy payment functionality, powered by TX-SHIELD's MPC (Multi-Party Computation) solution—the core engine specifically designed to meet the needs of enterprises like those described above. We have further proposed the construction of a comprehensive "enterprise-grade privacy payroll system." Using BenFen Chain, companies can distribute salaries to employees around the world entirely on-chain. The system ensures that while all transactions are accurate and auditable, critical information, such as payment amounts, sender identities, and recipient identities, is fully concealed. For enterprises, this system acts as a "stealth strategic asset": it supports efficient, transparent global payroll management while safeguarding the company's most sensitive compensation data and business strategies. For the blockchain ecosystem, this approach represents a crucial step toward large-scale enterprise adoption. By directly addressing the core concerns of companies like Deel in managing highly sensitive payroll operations, it removes one of the most significant barriers to integrating blockchain technology into mainstream business applications.

2. Supply Chain Finance and Settlements: Using Apple and Foxconn as an Example to Solve the Dual Challenge of "Data Silos" and "Excessive Transparency"

The current challenges in supply chain finance fundamentally stem from the inability to efficiently transmit trust among participants. McKinsey's Global Payments Report highlights that global supply chain finance faces an annual financing gap of trillions of dollars. At its core, this gap reflects a classic trust problem. Take the collaboration between Apple and its key supplier Foxconn as an example. The business data between the two form typical "data silos." As a result, Foxconn's accounts receivable—which reflect the real transactional context—cannot easily be validated to financial institutions for low-cost financing, leading to persistent challenges of costly and difficult funding across the supply chain. However, attempting to address this problem simply by adopting blockchain for the sake of data sharing and transparency introduces an even more critical issue: sensitive commercial information—such as Apple's precise purchase prices, settlement terms, or production volumes of new products—would be fully exposed to all on-chain participants, including competitors. Competitors could then reverse-engineer Apple's cost structure and product strategies. This new risk, born from attempting to solve an old problem, significantly hinders blockchain adoption in core enterprise business scenarios. Complex industrial supply chains, such as those in the automotive and consumer electronics sectors with vast supplier networks, are seeking innovative solutions that can simultaneously satisfy two seemingly contradictory goals: 1. Automate business processes and ensure verifiable data to meet trust requirements and unlock financing bottlenecks. 2. Fully protect all sensitive commercial details during collaboration, preventing the disclosure of core competitive advantages.

Industry exploration has validated the feasibility of this approach. The Baseline Protocol—a pioneering initiative driven by industry leaders such as EY, Microsoft, and AMD—demonstrates the potential. Its core innovation lies in leveraging advanced cryptographic techniques to synchronize business process states on a public blockchain, while keeping all sensitive commercial data confidential. This practice provides strong evidence that "competitive collaboration" through technology is possible: supply chain efficiency and trust can be improved collectively, while each participant maintains a robust data moat around their sensitive information.

BenFen Chain's privacy payment feature is designed to tackle this complex challenge. Powered by TX-SHIELD's verifiable privacy technology, we can build a trusted settlement layer on-chain. At this layer, suppliers can prove the validity and compliance of their accounts receivable to financial institutions without revealing sensitive information such as specific amounts, counterparty identities, or contract details. This provides financial institutions with the critical elements of trust needed for decision-making while keeping all commercial secrets fully protected. According to McKinsey's predictions on digitalized supply chains, such solutions have the potential to significantly optimize cash flow efficiency, reducing settlement cycles from months to days. They establish next-generation infrastructure capable of revitalizing industrial chains and lowering overall financing costs.

3. Cross-Border B2B Payments and Settlements: Using SHEIN's Global Supply Chain as an Example to Balance Efficiency, Cost, and Commercial Confidentiality

The traditional cross-border payment system has been constrained by speed and cost issues for decades. Payments processed through conventional correspondent banking channels such as SWIFT typically take 2 to 5 days to complete and involve high fees along with opaque intermediaries. Take the global fast-fashion giant SHEIN as an example. Its business model heavily relies on a fast-response global supply chain network composed of thousands of suppliers. As such, it is highly sensitive to both the efficiency and cost of cross-border payments. To address the shortcomings of traditional SWIFT-based systems, the industry naturally explores more efficient blockchain-based solutions such as stablecoins. However, even with the introduction of new tools aimed at improving efficiency, companies still face additional challenges posed by data privacy regulations across different jurisdictions (e.g., the EU's GDPR) and complex compliance requirements. Moreover, for SHEIN, every payment recorded on a transparent blockchain could inadvertently reveal to competitors such as Temu its exact procurement prices for different suppliers, order allocation strategies, and even global cash flow paths—directly threatening its core competitive advantages. Companies urgently need a payment solution that combines the privacy protection of traditional banking systems, the settlement speed of stablecoins, and the compliance flexibility to navigate complex global regulatory frameworks.

BenFen Chain's privacy payment functionality offers a new solution: a "B2B Cross-Border Privacy Settlement Layer." This solution leverages TX-SHIELD's privacy-preserving stablecoin technology, enabling near-instant on-chain cross-border transactions between enterprises, while concealing key information such as transaction amounts and counterparty identities. Only the transacting parties and authorized regulatory institutions can view this data. The expected outcomes of this solution are second-level settlements, over 50% reduction in average transaction fees, and zero leakage of core commercial information such as procurement strategies and sales channels—providing companies with a critical information advantage in the fiercely competitive global trade environment.

4. Privacy-Enhanced Treasury Management: Using MicroStrategy as an Example to Reshape Enterprise-Grade Blockchain Finance

As global enterprises accelerate digital transformation, treasury management has evolved from a back-office function into a core component of corporate strategy. It not only determines the security and liquidity of corporate funds but also directly affects capital structure, market signaling, and strategic decision-making. However, as more companies attempt to leverage blockchain and crypto assets to optimize their treasury structures, a new challenge emerges: while efficiency is improved, increased transparency introduces strategic exposure risks. Take the U.S.-listed company MicroStrategy as an example. As one of the world's most prominent "blockchain treasury pioneers," MicroStrategy has, since 2020, continuously acquired Bitcoin through bond financing and its own funds, incorporating it into the corporate balance sheet to hedge against inflation and optimize long-term value reserves. While this initiative represents a milestone in corporate asset allocation innovation, it also exposes the privacy challenges of public blockchain ledgers. Every fund transfer, asset rebalancing, or new purchase is recorded and analyzable on-chain in real time. Market observers can infer positions, cost ranges, and even potential future actions from transaction paths. This means that, alongside transparency and trust, blockchain also exposes corporate fund allocations, investment rhythms, and internal financial structures to global analysts. For a publicly listed company, this can trigger market volatility, speculative activity, and affect market value management, bond ratings, and precise control over capital market signals.

An increasing number of enterprises are no longer satisfied with the closed and slow nature of traditional treasury systems and are exploring blockchain-based real-time financial management. At the same time, they are concerned: if a public ledger is used, does this mean all fund flows are exposed to the public? Enterprises urgently need a treasury solution that combines the real-time settlement and automated scheduling advantages of blockchain with the privacy protection and audit compliance capabilities of traditional banking systems.

This is where BenFen Chain's privacy payment system delivers unique value. Leveraging TX-SHIELD's advanced MPC technology, BenFen Chain allows enterprises to perform on-chain operations such as asset transfers, reinvestments, and stablecoin liquidity allocation, while encrypting critical financial information—including transaction amounts, flows, and asset structures. The system automatically generates verifiable cryptographic proofs, with access restricted to authorized auditors or regulatory nodes. In this way, enterprises can execute treasury operations with blockchain-level efficiency while ensuring that sensitive information remains private "off-chain" but verifiable "on-chain."

Under this architecture, if MicroStrategy were to manage its treasury on BenFen Chain, fund allocation, currency distribution, and asset rebalancing would no longer be exposed to the public market, while all on-chain operations remain compliant, auditable, and consistent with financial reporting. In other words, BenFen Chain enables enterprises to achieve a truly "cryptographically verifiable treasury": transparent to regulators, private in execution.

5. DAO Treasury Management and Anonymous Funding: Using Uniswap DAO as an Example to Establish a "Strategic Shield" for Decentralized Organizations

Large DAOs, such as Uniswap DAO, often manage assets worth hundreds of millions or even billions of dollars. While complete transparency of the treasury is the cornerstone of community governance, it also brings practical challenges and pain points. When Uniswap DAO considers investing in an early-stage DeFi project, fully public negotiation and transfer details allow other whales or competitors to easily capture this information, causing the DAO's entry cost to spike and rendering its investment strategy ineffective. A strong practical need thus arises: to provide the team or specific committees a certain degree of operational privacy when executing investments, grants, or contributor rewards, while maintaining effective community oversight of the overall health and fund usage of the treasury.

We envision providing DAOs with a dedicated "Treasury Privacy Vault" module on BenFen Chain. Through BenFen Chain's privacy payment functionality, DAOs can make confidential investments, provide anonymous funding to projects, and issue private rewards to contributors. Subsequently, DAOs can leverage selective disclosure mechanisms to demonstrate to the community the overall reasonableness and compliance of fund usage over a given period, without revealing the details of each sensitive transaction. The technical feasibility of this solution has been validated by privacy-focused blockchain projects such as Aztec Network in their official use cases. Furthermore, the Messari report Understanding Decentralized Confidential Computing (DeCC) provides a theoretical framework from an industry perspective for such explorations, which aim to introduce data confidentiality while preserving decentralization. This solution empowers DAOs with a level of "commercial secrecy" protection akin to traditional companies, attracting traditional capital and institutional participants seeking strategic privacy into the Web3 ecosystem, thereby promoting further growth, maturity, and resilience of decentralized communities.

For Individual Users: Privacy Payments as the Technological Foundation of Financial Dignity and Personal Freedom

1. Protecting Daily Spending and Digital Life: Using Cryptocurrency Traders as an Example to Safeguard the "Digital Persona"

As global cryptocurrency payment infrastructure matures—from crypto cards launched by Visa and Mastercard to USDC integration by mainstream fintech companies such as PayPal and Revolut—more users are beginning to use cryptocurrencies for everyday transactions in the real world. Blockchain payments are evolving from a "niche activity for investors" into a "lifestyle for the general public." Yet, one overlooked fact is that the full transparency of public chains is turning digital life into a glasshouse, easily observed by others.

Imagine a prominent cryptocurrency trader or Web3 entrepreneur whose everyday spending—from buying Starbucks coffee, paying for Netflix subscriptions, to purchasing holiday gifts for family—is all conducted through the same public wallet. This information can be easily tracked, aggregated, and cross-analyzed. Blockchain analytics firms, advertisers, and other entities could reconstruct the individual's life trajectory, wealth distribution, interests, and even health status and family relationships. Such pervasive transparency threatens personal privacy, security, and even individual freedom. This is not an isolated case. The 2024 annual reports by Chainalysis and CipherTrace indicate that over 70% of on-chain identity profiles are built from users' everyday transactions rather than large investment activities. CoinDesk and The Block have commented bluntly: "Without privacy, cryptocurrency payments will forever remain experimental."

For Web3 payments to truly reach mainstream adoption, it is not enough to solve "efficiency and cost" problems; users must regain the privacy boundaries of their digital persona. In other words, privacy is a prerequisite for mass adoption, not an optional enhancement.

BenFen Chain's privacy payment system is specifically designed to address this core pain point. Built on the BenFen Chain ecosystem, BenPay (www.benpay.com) enables users to make everyday micro-payments—such as dining, subscriptions, commuting, and online purchases—using applications within the ecosystem, including the BenPay Card. This allows stablecoin payments to integrate into daily life at low friction and high frequency. The system leverages advanced MPC technology to automatically conceal transaction amounts, timestamps, recipient information, and address correlations across different transactions. Additionally, BenFen Chain implements a selective disclosure mechanism, enabling users to grant restricted transaction visibility to merchants or regulators when needed, achieving a "verifiable but non-traceable" payment experience.

The anticipated impact of this solution goes beyond protecting individual privacy; it also drives the mainstream adoption of blockchain payments:

• For ordinary consumers, it restores cash-like freedom in the digital world—spending no longer serves as an entry point for data mining.

• For merchants, it enhances user trust and encourages more frequent Web3-native payment usage.

• For regulators, privacy is no longer synonymous with a "black box" but represents "bounded transparency."

In the long term, privacy payments will become a foundational public infrastructure for digital life. They are not only a technological manifestation of personal data sovereignty but also a prerequisite for the Web3 economy to fully integrate into everyday society.

2. Protecting Purchases of Sensitive Goods and Services: Using Prescription Medication as an Example to Safeguard Personal Consumption Privacy

Amid increasing global regulatory pressures and the growing centralization of payment platforms, consumers are gradually losing the last line of privacy protection when purchasing legal but sensitive goods or services. Traditional payment systems, with centralized accounts and identity verification mechanisms, make every transaction traceable and analyzable. For individuals who need to regularly purchase prescription medications or mental health services, this is tantamount to having their personal lives exposed under a spotlight.

Blockchain payments, particularly stablecoin-based payments, offer a new possibility for these scenarios. They provide advantages such as instant settlement, cross-border accessibility, and immunity to intermediary freezes, making them especially suitable for sensitive consumption in a globalized digital lifestyle. Yet, the transparency of public ledgers introduces a critical challenge: when a purchase of medication or a mental health consultation is recorded on-chain, anyone can trace the transaction and infer personal health conditions, lifestyle, and economic status. This "transparency backfire" renders blockchain payments effectively unusable in precisely the scenarios where privacy is most needed.

Mainstream media outlets, including CoinDesk, have repeatedly noted: "Without privacy, cryptocurrency payments will struggle to gain adoption in mainstream consumer use cases." This observation is corroborated by market behavior—privacy coins such as Monero are actively used in certain e-commerce and sensitive service sectors, demonstrating users' strong demand for privacy protection. However, these solutions often conflict with regulatory requirements and struggle to enter mainstream payment systems.

BenFen Chain's privacy payment functionality addresses this critical need. Users can pay merchants through BenPay ecosystem applications such as BenPay Merchant, completing transactions on-chain while concealing key details such as transaction amounts, wallet addresses, and any information that could reveal specific consumption behavior. This allows users to safely access the services they need without worrying that the core details of their private lives will be permanently recorded on a public ledger, potentially creating future risks. We aim to further promote privacy payments as the default payment option for sensitive consumption scenarios. For users, it acts as a "consumption freedom talisman," safeguarding the basic right to spend according to personal preference without harming others, and protecting personal dignity. For the blockchain payment ecosystem, it represents a critical step toward mainstream consumer adoption and meeting deep user needs, as it resolves a real-world pain point that exists even in traditional electronic payments, but is greatly amplified on blockchain.

3. Protecting Freelancers and Small Businesses: Using Upwork Designers as an Example to Provide Individuals with "Commercial Secrecy Protection"

In today's rapidly growing digital economy and era of remote collaboration, freelancers and small businesses have an increasing demand for efficient and flexible cross-border settlements. More and more individuals are adopting blockchain and stablecoin payments as a new option for international invoicing and settlement. Whether they are creative workers on traditional platforms such as Upwork or Fiverr, or Web3 developers providing services for DAOs and NFT projects, they are increasingly accepting stablecoins like USDT and USDC. The reasons are practical: blockchain payments are borderless, settlements are instantaneous, fees are lower, and they bypass the complex processes and geographic restrictions of traditional banking. This has made stablecoins a new universal currency in the global freelance market.

However, as more individual economic activities are recorded on-chain, freelancers and small businesses are passively exposed on a fully transparent ledger. A top UI designer on Upwork, simultaneously serving cash-strapped startups and Fortune 500 clients, could have her pricing strategy, income fluctuations, and key client sources fully visible on-chain. This transparency allows competitors, clients, or third-party data analytics firms to easily glean critical business information. Such a state of "bare exposure on-chain" puts her at a disadvantage in price negotiations, potentially leads to trust and dispute issues, and directly undermines her commercial pricing power and market competitiveness. Individual operators similarly need to protect their commercial secrets—particularly pricing strategies and client relationships. In the traditional economy, this information is naturally protected by bank account privacy and commercial confidentiality systems. In the on-chain economy, however, they face almost no barriers.

This "transparency backfire" phenomenon is emerging as a key concern for the next generation of the individual economy. While centralized payment platforms such as Stripe and Payoneer offer some degree of privacy protection, users must fully entrust their data to the platform and cannot autonomously control their commercial information. The 2024 CoinDesk report also noted, "In the Web3 economy, privacy is no longer just a personal matter; it is a component of business competitiveness." BenFen Chain's privacy payment system provides a structural solution for this user group. By receiving payments through BenFen Chain, freelancers and small businesses can safely complete on-chain transactions while concealing transaction amounts, counterparty identities, and transaction correlations. This effectively prevents external parties from inferring pricing strategies or client relationships. The mechanism preserves the advantages of blockchain payments—efficiency, low cost, and global accessibility—while providing confidentiality comparable to traditional commercial systems. For the first time, participants in the individual economy gain a technical "negotiation protection umbrella." Independent designers, developers, content creators, and cross-border merchants can manage their commercial data security like large enterprises, continuing to create value in a market environment defined by fairness and respect.

4. Financial Self-Defense in Geopolitical Contexts: Using a Turkish Designer as an Example to Build an "Economic Lifeline"

Amid intertwined geopolitical and macroeconomic risks, blockchain is increasingly becoming a "financial self-defense tool" for people in certain regions. In countries such as Turkey and Argentina, which have experienced hyperinflation or strict capital controls, freelancers, small business owners, and ordinary savers often cannot safely preserve wealth or conduct cross-border payments through traditional banking systems. As a result, they turn to blockchain and stablecoins, with digital assets serving as an alternative lifeline to hedge against local currency devaluation and circumvent capital restrictions.

However, a new challenge arises: the transparency of blockchain exposes these users on-chain. For example, a resident in Turkey seeking to convert part of their income into a USD stablecoin to hedge against Lira depreciation would find that all transfers, asset balances, and conversion paths are visible on-chain, meaning their entire financial footprint is exposed to public view. This creates a dual threat: regulators could use these public records to determine violations of capital flow policies, triggering "freeze first, review later" procedures that lock assets; simultaneously, visible wealth makes users easy targets for malicious actors. This vulnerability, caused by transparency, undermines blockchain's protective role in high-risk countries.

This has created a strong, practical demand: in regions with restricted capital and volatile currencies, people need not only decentralized stores of value but also a privacy-layer protection mechanism, a financial infrastructure that allows them to survive in untrusted environments. BenFen Chain's privacy payment functionality addresses this need. When users save assets on-chain or conduct peer-to-peer transfers via BenPay C2C, their asset balances and counterparty information are concealed. This allows them to hedge against inflation using stablecoins while mitigating the risks of on-chain transparency. Research from Chainalysis shows that in high-inflation and politically unstable regions, retail cryptocurrency adoption rises significantly, underscoring the urgency of this trend. We believe privacy payments are not merely a technological innovation but a foundational financial human rights infrastructure. They provide individuals in distress with the last line of defense to protect their wealth and conduct free transactions, serving as an "economic escape pod" that enables survival and preserves dignity under extreme conditions.

5. Preserving the Purity of Charitable Giving: Using Anonymous Donations as an Example to Safeguard the Spirit of Philanthropy

In today's charitable landscape, public figures, entrepreneurs, or ordinary altruistic individuals often face social pressure, moral expectations, or persistent donation requests once their contributions—especially large or sensitive ones—are made public. For example, an entrepreneur seeking to fund cutting-edge scientific research or fringe artistic projects may prefer not to have their name publicly associated with the donation, in order to avoid unnecessary commercial attention or public misinterpretation. This can distort the purity of the philanthropic act and even discourage potential donors. Individuals wishing to donate anonymously, as well as charitable organizations prioritizing donor privacy, require a payment method that ensures funds reach the intended recipients securely and verifiably, while fully protecting donor anonymity, allowing goodwill to flow freely. A strong example is Ethereum founder Vitalik Buterin's anonymous donation to Ukraine via Tornado Cash, demonstrating that even industry leaders value privacy in certain philanthropic contexts.

BenFen Chain's privacy payment system is an ideal tool for achieving this goal. Donors can contribute directly to a charity's public address on-chain, with the process fully concealing both the donor's wallet address and the exact donation amount. BenFen Chain can further collaborate with major philanthropic foundations to promote the establishment of "Charitable Privacy Payment" standards, reshaping the culture of giving. This encourages more genuine, heartfelt donations—particularly attracting those who wish to remain low-profile or avoid public recognition—allowing philanthropy to return to its most pure and free essence.

For Governments and Third Parties: Privacy Payments as the Next-Generation Regulatory Technology for "Precision Compliance"

1. Achieving "Auditable Privacy": Using the Tornado Cash Case as an Example to Explore a New Paradigm for AML/CFT Compliance

As blockchain technology continues to evolve—particularly with enhanced anonymity and privacy protection features—traditional financial regulatory systems are facing unprecedented pressure. Regulators have historically relied on transaction traceability and identifiable entities to enforce AML/CFT obligations. However, strong privacy technologies, while safeguarding user data, also reduce regulators' ability to access on-chain transaction information. This "technical blindness" forces regulators to rely on traditional measures such as territorial jurisdiction and sanctioned entities, making it difficult to distinguish between legitimate users and bad actors. Consequently, regulatory measures often take a "one-size-fits-all" approach, simultaneously suppressing illegal activities and restricting lawful private transactions.

The Tornado Cash incident is a typical example of this dilemma. In 2022, the U.S. Department of the Treasury sanctioned Tornado Cash, citing the mixer's use by certain malicious actors for money laundering, including funds associated with North Korean hacker groups (U.S. Treasury, 2022). The case demonstrates that, without effective tools to manage anonymous transactions, regulators can only take indirect measures to control risk, unable to precisely identify legitimate versus illicit activity. This highlights a deep tension: privacy technologies designed to protect individual rights are at odds with public safety objectives under existing frameworks. Regulators urgently need technological solutions that allow efficient and precise identification and prevention of illegal activity without monitoring all lawful transactions or infringing on public privacy, moving from "blanket enforcement" toward precision governance.

In response, BenFen Chain proposes an innovative solution of "auditable privacy." By embedding compliance capabilities into the protocol layer via complex multi-party computation (MPC), regulability becomes a core feature rather than a post hoc add-on. Specifically, regulators can verify the compliance of transactions (e.g., confirming that a transaction does not involve sanctioned addresses) without viewing transaction amounts or participant identities, representing a shift from traditional "data-based oversight" to a logic-based regulatory paradigm.

BenFen Chain's architecture employs a dual-layer compliance design:

• Layer 1: KYC-Based Identity In partnership with compliance service providers, off-chain KYC verification is offered for enterprises and high-frequency users, generating verifiable credentials. This ensures participants' legitimacy and provides a procedural foundation for AML/CFT, serving as a trust anchor for all advanced financial activities, especially corporate payments and payroll.

• Layer 2: Protocol-Level Auditable Privacy Once identity compliance is confirmed, MPC is combined with zero-knowledge proofs to achieve both transaction privacy and auditability. Regulators can verify compliance without exposing transaction amounts or counterparties, ensuring that the vast majority of legitimate transactions enjoy default privacy while providing regulators with precise governance tools.

This dual-layer architecture systematically resolves the core tension in regulation: regulators can effectively combat illicit activity, while enterprises and individuals can protect financial data and commercial secrets within a compliant framework. BenFen Chain thus provides key infrastructure for enterprise-scale blockchain financial applications, demonstrating that privacy and compliance are no longer mutually exclusive, and ushering in a new era of regulatory technology.

2. Enhancing Tax Audit Efficiency: Using a Mid-Sized Tech Company as an Example to Build a More Harmonious Tax Relationship

In traditional tax audits, authorities typically require companies to provide years of bank statements and detailed accounts to verify the accuracy and compliance of their tax filings. Take a mid-sized technology company as an example: during a routine audit, it must provide transaction records spanning multiple years, and the process can take months, severely disrupting R&D and operational workflows. More importantly, management constantly worries that core business secrets—such as client lists, partners, and pricing strategies—might be exposed during the prolonged audit. This reflects a common dilemma: ensuring tax fairness while minimizing disruption to normal business operations.

With the maturation of blockchain technology, companies have begun exploring on-chain transaction recording in daily operations to improve efficiency, transparency, and security. Platforms such as Ethereum and Hyperledger can enable real-time on-chain recording and automation of financial transactions, potentially simplifying tax audits. PwC has also proposed blockchain-based solutions to track corporate taxes and transactions, aiming to improve compliance and reduce manual audit burdens through on-chain data.

However, existing blockchain solutions have significant limitations. While transparent ledgers provide a complete transaction record, every transaction's amount, counterparties, and relational links are publicly visible. This exposes sensitive corporate data—particularly client lists, revenue structures, and partner information—meaning that standard blockchain records alone cannot protect privacy during audits.

BenFen Chain's privacy payment and related technologies have emerged, aiming to fill this gap. By recording transactions on-chain, companies can generate necessary proofs for auditors without disclosing each transaction's details. This "data usable but not visible" design ensures audit compliance while protecting corporate secrets and client privacy. Furthermore, BenFen Chain integrates advanced MPC at the protocol layer and combines it with off-chain KYC verification to form a dual-layer compliance system. Regulators can verify transaction compliance without viewing specific amounts or counterparties, achieving "default privacy with selective disclosure" at a high standard. This approach not only enhances audit efficiency and reduces corporate compliance costs but also fosters a more trustworthy and efficient tax relationship, paving the way for large-scale adoption of blockchain in corporate financial management and tax compliance.

The twelve scenarios we have analyzed collectively reinforce a key insight: privacy payments are not a peripheral feature but a core component that fixes critical flaws in existing blockchain paradigms and unlocks their true potential. By providing granular technical guarantees for corporate secrets, individual dignity, and regulatory efficiency, privacy payments enable blockchain technology to better serve mainstream businesses, individual users, and regulatory systems.

Yet this is just the beginning. Once payment privacy becomes a reliable foundational capability, a far broader space for innovation opens. Imagine:

• If institutions could execute strategies on-chain without being front-run, how much would DeFi liquidity grow?

• If DAO votes were no longer dominated by whales, how fair would governance become? (e.g., A16Z holding veto power in Uniswap)

• If auctions were no longer anchored by "first bids," how accurate would price discovery be?

• If enterprises could jointly analyze data without revealing business secrets, how many new collaboration models could emerge?

These scenarios were previously impossible, not because the technology was immature, but because the tension between transparency and privacy remained unresolved. When forced to choose between "public for trust" and "private but isolated," many high-value collaborations simply could not occur. Now, consider what can be built when privacy becomes infrastructure rather than a luxury.

This is not mere technological showmanship—it is a redefinition of trust: from "trust through transparency" to "trust through cryptography," from "collaboration through visibility" to "collaboration within privacy."

Building the Future Dream — From "Privacy Payments" to "Privacy Collaboration": A Paradigm Leap

Over the past decade, we have witnessed breakthroughs in privacy technologies within the payments domain—protocols like Zcash, Monero, and Tornado Cash have made it impossible to trace who sent how much to whom. This marks the 1.0 era of privacy technology: information hiding.

But payment privacy is only the beginning. The real future lies in flow privacy, behavioral privacy, and ultimately collaborative privacy.

What distinguishes these three?

• Flow Privacy: Concealing transaction strategies, market behaviors, and intention patterns.

• Behavioral Privacy: Hiding operational behaviors, strategic paths, and market intentions to prevent inference of action patterns.

• Collaborative Privacy: Establishing a protected collaborative space among multiple parties, where data never leaves its local environment, yet insights are shared in encrypted form.

We believe the future world will revolve around "protected collaboration", redefining the boundaries of payments, trading, governance, and social cooperation.

Privacy is no longer about being "invisible"—it is about being "selectively visible." Trust is no longer derived from a central authority; it comes from verifiable cryptographic collaboration.

This is not a minor technical upgrade; it is a reconstruction of the very infrastructure of trust.

1. Transaction Flow Privacy: The Emergence of On-Chain Dark Pools

Why Do Institutions Need Privacy Markets?

The transparency of traditional blockchains is a blessing for retail investors but a curse for institutions.

When an asset management firm executes a large on-chain trade, the entire market can see it: counterparties may infer their strategy, arbitrageurs can front-run orders, and competitors can replicate their models. This "forced transparency" creates severe information asymmetry in on-chain markets, often distorting price discovery.

In traditional finance, dark pools exist to address this problem—allowing large trades to occur anonymously and minimizing market impact. However, centralized dark pools have fatal flaws:

• Operator risk: trades can be front-run, information leaked, or prices manipulated.

• Regulatory opacity: no way to verify that trades are executed fairly.

• Single-point-of-failure: the collapse of a centralized system can devastate the entire market.

TX-SHIELD is building a regulated dark pool on-chain, a trading infrastructure that enables selective transparency in a decentralized environment. BenFen Chain serves as the tangible implementation and core backbone of this infrastructure.

How Does Technology Enable "Selective Transparency"?

The core challenge here is: how can trading parties see each other, allow regulators to intervene when necessary, yet keep the rest of the market completely unaware?

TX-SHIELD implements a multi-layered privacy architecture:

1. Order Layer: An MPC-based order matching mechanism allows trading intentions to be submitted and matched in encrypted form.

2. Execution Layer: Zero-Knowledge Proofs (ZKP) ensure the validity of trades can be verified without revealing parameters such as price, quantity, or counterparty identity.

3. Compliance Layer: A Selective Disclosure mechanism enables regulators to hold decryption keys and access specific transaction records under legal procedures.

This design means:

• The market is no longer manipulable due to public visibility—trading intentions remain confidential until execution.

• Institutions can safely execute strategies on-chain without fear of information leakage.

• Stablecoins and RWA (real-world assets) can circulate privately yet compliantly, achieving both privacy and regulatory compliance.

Dark Pool is not merely a market tool—it is the foundational infrastructure of privacy finance. For the first time, traditional financial institutions can seriously consider going on-chain, without having to choose between transparency and strategic protection.

2. DAO Governance: How Confidential Voting is Reshaping DAOs

The Dilemma of DAO Governance: The Cost of Transparency

The ideal of Decentralized Autonomous Organizations (DAOs) is to enable community members to make collective decisions through voting, replacing traditional hierarchies with code and consensus.

In reality, DAO governance often falls short:

• Early visibility of votes: Large holders' votes can influence smaller participants, creating a "herding effect" (e.g., Uniswap, Radiant Capital).

• Social influence hijacking rationality: Public positions of prominent KOLs can suppress dissenting opinions.

• Vote buying and collusion: When voting results are visible in real-time, coordinated attacks become easy.

The root cause of these problems is over-transparency, which creates information asymmetry rather than resolving it.

True democratic governance requires two conditions: freedom of expression (uninfluenced by others) and verifiable results (ensuring no cheating). Traditional public voting only satisfies the second condition.

Confidential Voting: Restoring Integrity to Governance

TX-SHIELD's confidential voting mechanism is built on Homomorphic Encryption and Multi-Party Computation (MPC):

• Votes are submitted on-chain in encrypted form.

• Counting is performed in an encrypted state, so no one can see individual ballots.

• The final result is publicly verified via Zero-Knowledge Proofs (ZKP), ensuring the correctness of the tally.

While this may seem simple, it fundamentally redefines the trust logic of DAOs: "Privacy makes governance honest."

Within this framework:

• Every vote is independent and uninfluenced by others.

• Large holders cannot manipulate smaller participants through "signal exhibition".

• The correctness of outcomes can be mathematically verified, rather than relying on trust.

More importantly, this mechanism can be extended to more complex governance scenarios:

• Tiered governance: Votes of different weights are aggregated in encrypted form.

• Delegated voting: Delegation relationships remain private, while results remain traceable.

• Prediction markets: Fully decentralized prediction markets built on confidential voting.

When governance shifts from "public transparency" to "verifiable privacy", DAOs truly gain the potential to become a new organizational paradigm.

3. Confidential Auctions: Unlocking True Value

What is the Essence of Auctions?

In economics, auctions are considered a "price discovery mechanism"—allowing competitive forces to reveal the true value of an item.

However, traditional auctions have a fundamental flaw: the Anchoring Effect. When the first bidder offers $1 million, others' expectations are anchored around that figure. Even if someone believes the item is worth $2 million, they might only bid $1.1 million—afraid of "overpaying" and appearing foolish.

The result is that auctions often guide prices rather than discover them. The first bid shapes the entire market's expectations.

Blockchain Implementation of Sealed-Bid Auctions

TX-SHIELD's privacy auction mechanism adopts a digital sealed-bid format:

1. Submission Phase: Bidders submit encrypted bids, invisible to anyone—including the auctioneer.

2. Reveal Phase: All bids are automatically decrypted by the smart contract after the predetermined time.

3. Settlement Phase: The highest bidder wins, and other bids are returned (or, depending on design, a second-price auction mechanism is applied).

For the first time, this enables truly "symmetric information competition"—each bidder acts based on their true valuation rather than being influenced by others' signals.

Applications: From NFTs to Carbon Credits

This mechanism can be applied wherever "fair price discovery" is required:

• NFT Auctions: The value of artworks is determined by true demand rather than speculative hype.

• Carbon Credit Markets: Companies bid according to actual emission reduction costs, not strategic pricing.

• Spectrum Auctions: Governments selling spectrum resources prevent operators from suppressing prices through signaling games.

• Data Marketplaces: Enterprises bid for datasets under privacy protection, avoiding exposure of commercial strategy.

Confidential auctions are more than a technical tool—they are a critical step for privacy technologies to enter the value discovery layer. They demonstrate that privacy is not an enemy of efficiency, but a prerequisite for a fair market.

4. Unlocking New Modes of Collaboration

The Ultimate Goal of Privacy: Reshaping Social Collaboration

If the previous three scenarios illustrate privacy technologies applied at the transaction and governance layers, the fourth dimension focuses on reconstructing social collaboration itself.

When individuals, institutions, and machines can securely collaborate in encrypted states, we unlock new socio-economic models—models that were previously impossible due to "high trust costs" or "insufficient privacy guarantees".

Scenario 1: Anonymous Creative Reward Systems

Problem: Creators often face "identity bias"—works by well-known authors attract attention, while newcomers' works are overlooked. This distorts evaluation systems.

TX-SHIELD Solution:

• Submissions are encrypted, hiding authors' identities.

• Reviews and tipping occur anonymously.

• Once a work reaches a quality threshold, the creator may choose to reveal their identity.

• Revenue sharing is automatically executed via smart contracts, distributing earnings proportionally among creators, curators, and platforms.

This approach has already shown potential in music, literature, and design. When "work" is decoupled from "author identity", creative value can be assessed purely.

Scenario 2: Decentralized Credit Lending

Problem: Traditional credit evaluation relies on centralized institutions (banks, credit bureaus) that either cannot cover global users or pose data monopoly and privacy abuse risks.

TX-SHIELD Solution:

• Users' on-chain behavior (transaction history, DeFi participation, social reputation) is aggregated in encrypted form into a "credit score."

• Lenders and borrowers can verify each other's creditworthiness without exposing underlying data.

• Scoring models are community-governed: algorithms are transparent, data remains private.

This "encrypted credit assessment without revealing identity" enables the unbanked to access financial services while safeguarding privacy.

Scenario 3: Cross-Enterprise Collaborative Data Sharing

Problem: Industries such as healthcare, finance, and logistics possess high-value data, but privacy regulations (GDPR, HIPAA) and competitive concerns prevent sharing. Consequently, AI model training is limited, and industry insights remain inaccessible.

TX-SHIELD Solution:

• Using Federated Learning (FL) + Multi-Party Computation (MPC), data remains local to each enterprise.

• Model training occurs in encrypted form, with only differentially private gradients shared.

• The final model is jointly owned, but no party can access another's raw data.

This model is transforming fields such as medical research (joint training of diagnostic models by multiple hospitals), financial risk control (joint anti-fraud by multiple banks), and supply chain optimization (joint demand prediction by multiple enterprises).

This is precisely the vision of TX-SHIELD's MPC-FL(Multi-Party Secure Computing Federated Learning) framework: a system that enables "privacy to become the infrastructure for social collaboration". More importantly, TX-SHIELD resolves the core conundrum in federated learning: how to fairly quantify the contributions of each party? This is the essential difference between TX-SHIELD and traditional federated learning solutions.

Traditional federated learning allows all participants to train a model equally, without measuring individual contributions. This creates:

• Free-rider problem: low-quality contributors benefit equally.

• Misaligned incentives: high-value contributors lack motivation to continue.

TX-SHIELD's framework quantifies each participant's contribution in encrypted form, without exposing raw data:

• Enterprise A contributed 30%—its data improved model accuracy marginally.

• Enterprise B contributed 34%—its data covered critical long-tail scenarios.

• Enterprise C contributed 36%—its high-quality data reduced model variance.

Based on these contributions, rights and rewards are allocated automatically:

• Governance rights: voting power proportional to contribution; high contributors influence model iteration decisions.

• Revenue rights: commercial revenue shared according to contribution.

• Data sovereignty: participants can exit at any time; contributions are recorded, raw data remains private.

This contribution is not calculated once but is dynamically updated as the model iterates. When one party continuously provides high-quality data, its equity share will gradually increase. If the data quality declines or contributions cease, the proportion will decrease accordingly. The distribution of rights will only be solidified when the model is no longer updated. This forms a self-optimizing incentive mechanism - participants have the motivation to continuously provide high-quality data rather than making a one-off deal.

This is the essential difference between TX-SHIELD and traditional federated learning solutions.

Existing solutions (Google Federated Learning (FL), OpenMined, etc.) solve "privacy-preserving model training", but assume equal participation: whether a participant provides 1 million high-quality records or 10,000 low-quality ones, rights remain the same.

TX-SHIELD further answered: How can the fairness of collaboration be ensured under privacy protection? We not only protect privacy, but also quantify contributions and distribute rights and interests.

This "verifiable fairness" transforms collaboration from a matter of moral constraint into one of mechanism-based guarantee:

In healthcare, large tertiary hospitals and community clinics can collaborate equitably—tertiary hospitals provide complex case data, while community clinics provide common-disease data. The contributions of both parties are accurately measured, eliminating the previous dynamic of "large hospitals lead, small clinics follow."

In finance, major banks and small fintech companies can jointly combat fraud—the historical data from large banks and real-time data from smaller companies are both valuable, with rights and benefits distributed according to actual contribution, breaking the zero-sum game of "big eats small."

In supply chains, brands, logistics providers, and retailers can jointly optimize inventory—each party's data (sales forecasts, transport efficiency, inventory turnover) is quantified into specific contributions to model improvement, and gains are shared proportionally.

This is not merely a technological innovation; it is a revolution in collaboration paradigms: when contributions can be quantified, trust becomes computable; when rights and benefits can be verified, collaboration can occur and be sustained.

Scenario 4: Confidential Collaboration Infrastructure and Data Quantification

The most radical vision is this: the intelligence of the future will not belong to a single AI, but to networks of AI. Multiple AI agents will collaborate within a trusted privacy layer, much like neurons form a brain—individual neurons are ordinary, but the network of connections creates consciousness.

Why do AIs need to collaborate? Today's AI models are increasingly specialized: some excel at image recognition, others at natural language, and some focus on mathematical reasoning. Yet real-world problems often require cross-domain capabilities—diagnosing diseases requires analyzing medical images, clinical notes, and genetic data; autonomous driving requires integrating vision, path planning, and traffic prediction.

A single AI cannot do everything; collaboration becomes inevitable.

However, there is a fundamental tension: AI models are assets and sources of competitive advantage. When two AIs need to collaborate, they cannot simply "reveal themselves" to each other—doing so risks reverse-engineering models, inferring training data, and leaking trade secrets.

TX-SHIELD's core solution is to provide the cryptographic infrastructure for AI collaboration.

Specific Scenarios:

Medical Diagnosis Collaboration

• Agent A (Imaging AI) analyzes CT scans and identifies lung anomalies

• Agent B (Pathology AI) infers potential causes from symptom descriptions

• Agent C (Genomics AI) evaluates treatment options based on patient genotypes

• The three AIs exchange inference results in a confidential manner to generate a comprehensive diagnosis

• No AI can see another AI's model parameters or training data

Financial Risk Collaboration

• Agent A (Trading AI) detects abnormal trading patterns

• Agent B (Credit AI) evaluates historical credit records

• Agent C (Fraud AI) cross-verifies multi-source data

• The final risk score is output, while each AI's model and data remain isolated

Autonomous Driving Collaboration

• Vehicle AI collaborates with City Traffic AI, Weather Forecast AI, and Logistics Dispatch AI

• Necessary information (road conditions, weather, delivery requirements) is shared in a confidential manner

• Each AI's algorithmic logic, historical trajectory data, and commercial strategies remain private

Technical Implementation: Confidential Model Inference Collaboration When AI agents need to share models, experience, or inference results, they should not directly expose data to each other (which risks reverse-engineering or data leakage). Instead, information is exchanged in a confidential manner:

• Agent A and Agent B jointly derive a conclusion without exposing their models

• Agent C can verify the conclusion's correctness but cannot reverse-engineer A or B's model parameters

• The collaboration is auditable, while inference details remain private

This "confidential collaboration" will become the foundation of the future AI economy.

As AI agents begin to own assets (cryptowallets, digital identities), execute contracts (on-chain smart contracts), and provide services (API calls, data exchanges), the trust mechanism between them must be cryptographic—not "I trust you won't cheat," but "cryptography guarantees you cannot cheat."

Furthermore, TX-SHIELD's contribution quantification mechanism can also be applied to AI collaboration: each agent's contribution to the final result is measurable, and revenue is distributed proportionally. This creates true "economic collaboration" among AIs rather than mere technical integration.

Imagine a future Web3 collaboration scenario based on TX-SHIELD:

• A medical diagnosis task is completed by five specialized AI agents, charging $100

• Imaging AI contributes 35%, Pathology AI 30%, Genomics AI 20%, Pharmacology AI 10%, Coordination AI 5%

• Revenue is automatically distributed: $35/$30/$20/$10/$5

• The entire process is verifiable on-chain, while each AI's models and data remain fully private

This is not science fiction; it is the inevitable convergence of cryptography, blockchain, and AI.

TX-SHIELD aims to be the trust infrastructure for this AI collaboration network—enabling agentic AIs or robots to collaborate like humans, but more reliably. In this new paradigm, trust comes from cryptography. You do not need to reveal information, only prove that you follow the rules. Zero-knowledge proofs, multi-party computation, and federated learning decouple "verification" from "disclosure", and collaboration from exposure. We believe privacy is not a boundary, it is a bridge to the future.

Conclusion: Privacy as the New Language of Trust

Starting from the need to "solve present-day pain points," we have witnessed how privacy payments serve as a robust shield—protecting trade secrets, defending personal dignity, and enabling precise compliance. It addresses the inherent shortcomings of transparent blockchains, enabling them to genuinely serve real-world needs. Moving forward, we move towards the "dream of building the future", envisioning the boundless possibilities that will arise when privacy becomes the default setting. From on-chain Dark Pool to confidential voting, from sealed-bid auctions to entirely new paradigms of data collaboration, it is clear that privacy is no longer just about "hiding"; it is about "empowerment". It is not merely a defensive shield but also an engine for collaboration.

This represents a profound paradigm shift: we are transitioning from an era where "trust must be purchased with transparency" to a new epoch where "trust is guaranteed through cryptography". Trust moves from forced public exposure to verifiable confidential computation.

The joint exploration of BenFen public chain and TX-SHIELD embodies this vision: we are not simply developing a feature or protocol; we are collectively laying the foundation for the next-generation Internet of trust. In the future:

• Enterprises can collaborate without fear in competitive environments, unlocking innovation;

• Individuals can live freely in the digital world, reclaiming their sovereignty;

• Society can achieve more efficient collaboration while safeguarding privacy, unleashing collective intelligence.

Privacy has never been an endpoint. It is the starting point toward a freer, fairer, and more efficient digital civilization, and we are working together to make it a reality.

About BenFen BenFen Chain is a high-performance public blockchain specifically designed for stablecoin payments. Built on the Move language, it delivers a secure, low-cost, and highly scalable underlying network. A key feature is the ability for users to pay gas fees directly with stablecoins, significantly lowering the barrier to entry and paving the way for large-scale adoption.

Beyond robust cross-chain and multi-asset settlement capabilities, BenFen provides rich ecosystem applications that cover diverse payment scenarios. Critically, it offers enterprise-grade privacy payment options, ensuring that businesses can leverage blockchain efficiency without exposing sensitive commercial data.

BenFen aims to become a global stablecoin circulation network serving payroll, cross-border payments, e-commerce, and offline merchants, a next-generation financial infrastructure balancing efficiency, cost, and security

About TX-SHIELD TX-SHIELD is a regulatable on-chain privacy settlement infrastructure, providing private yet auditably compliant payment and settlement capabilities for stablecoins and blockchain applications.

Core Solution:

• TX-SHIELD: A privacy infrastructure for blockchain applications, enabling confidential transactions, Dark Pools, and privacy-centric protocol layers.

Our Innovation: We go beyond protecting transaction privacy; through distributed cryptography, TX-SHIELD reshapes asset ownership and security. Its solution allows enterprises and financial institutions to engage in joint custody, confidential settlement, and auditable compliance without revealing sensitive business information.

We are building an infrastructure where privacy is no longer a barrier to regulatory adoption or institutional use, but a protective layer for financial flows.

TX-SHIELD — The private and regulatable settlement base-layer for stablecoin, blockchain, and enterprise.

区块链的透明性是其信任机制的基石，但这一公开记录的特性，如今已成为大规模应用落地的核心障碍。对于Web3 愿景而言，这是一把“双刃剑” ：它带来了可验证的信任，却以牺牲商业机密、个人财富隐私和合规灵活性为代价。

对于企业而言，每一笔链上的结算都可能将核心的供应商关系、采购成本与薪酬策略暴露给竞争对手；对于个人用户，每一次链上支付，都在永久记录并公开其消费习惯、资产状况与社会关系；对于监管机构，则在"保护公众隐私"与"履行金融合规职责"之间需要找到新的平衡。

透明，不应以牺牲核心隐私为代价。 本分公链（Powered by TX-SHIELD)正式推出隐私支付功能。这标志着我们从一个"公开换信任"的时代，迈向了"隐私生信任"的新范式。本文将分为上下两篇：上篇将展示隐私支付如何解决当下商业、个人与监管领域的切肤之痛；下篇将为您展开未来图景，深入探讨在隐私这一基石之上，我们如何共同构建从链上Dark Pool、保密投票到保密竞拍，乃至全新的社会协作模式的完整生态。

解决当下之痛——隐私支付的迫切应用场景与深度解析

针对B端企业：隐私支付是商业竞争与合规管理的战略利器

1. 保护薪资发放隐私：以Deel为例，打造企业人才管理的“战略工具”

在现代企业，尤其是跨国企业的全球化人才竞争中，薪酬体系是核心战略组成部分。然而，当企业尝试采用透明的区块链技术发放薪资时，面临着一个严峻的问题。

以全球薪酬管理平台Deel为例，作为史上增长最快的SaaS 公司之一，其业务核心在于处理遍布全球的员工薪酬支付。Deel 积极拥抱区块链技术，通过其“Deel Crypto”服务允许全球员工和承包商以Bitcoin、USDC 等加密货币即时提款，有效解决了传统跨境电汇的慢速和高费用的痛点。然而，正是这种对区块链支付效率的采用，使其面临严峻的透明性挑战。

对于Deel 及其服务的数万家客户公司而言，如果使用公开透明的区块链进行薪资发放，那么每一笔链上支付都会将客户的薪酬结构、不同国家与岗位的薪资水平、甚至具体员工的收入信息永久暴露在公共视野中。这不仅会引发客户公司内部的薪酬矛盾和外部的竞争性挖角，更会直接泄露Deel 平台最核心的商业机密——其全球薪酬数据库，这对其百亿美金估值的基础构成了根本性威胁。

这一由真实业务场景折射出的现状，催生了企业端明确且迫切的现实需求：像Deel 这样已经领先采用区块链支付效率的全球化企业，以及众多寻求高效、透明薪酬管理的公司，迫切需要一种支付解决方案。它必须既能利用区块链技术高效、准确、不可篡改地处理全球薪资支付，又能像传统金融系统一样，绝对保障薪酬数据的商业机密性，避免因支付工具的透明性而引发灾难性的数据泄露。

目前，已有众多前沿的Web3公司和DAO通过采用Zcash 或 Aztec Network 等隐私技术发放薪资，成功验证了隐私支付在薪酬管理中的可行性与必要性。这些实践表明，将薪酬保密从依赖于制度和信任的“合同承诺”，升级为基于密码学的“技术保证”，已成为现代企业，尤其是全球化企业管理进化的必然方向。

BenFen Chain（www.benfen.org）的隐私支付功能，其核心引擎即TX-SHIELD提供的MPC解决方案，正是为满足此类企业需求而量身打造的解决方案。我们进一步提出构建一套完整的“企业级隐私发薪系统”企业可通过本分链向全球员工发放薪资，整个流程在链上完成，既确保了支付过程的准确性与可审计性，又对支付金额、发放方与接收方的身份等关键信息进行隐藏。对企业而言，系统将作为一种“隐形战略资产”，在支撑高效、透明的全球化薪资管理的同时，全面守护企业最核心的薪酬数据与商业策略；对区块链生态而言，该系统有望成为推动企业级应用大规模落地的关键一步——它精准回应了如Deel这类企业在薪酬管理这一高度敏感环节中的核心关切，为区块链技术进入主流商业应用扫清了关键障碍。

2. 供应链金融与结算：以苹果与富士康为例，破解“数据孤岛”与“过度透明”的双重困境

当前供应链金融的困境，其根源在于信任无法在参与方之间高效传递。麦肯锡《全球支付报告》 的深度分析指出，全球供应链金融每年存在高达数万亿美元的融资缺口。这一缺口的本质，是一个典型的“信任”问题。以苹果公司与其核心供应商富士康的合作为例，二者之间的业务数据形成了典型的“数据孤岛”。这使得富士康手中代表真实交易背景的“应收账款”，难以向金融机构自证清白以获得低成本融资，最终导致全链条面临融资难、融资贵的顽疾。然而，若为了追求数据共享与透明度而简单地采用区块链，则会陷入一个更致命的困境：苹果给富士康的精确采购单价、双方的结算账期乃至新产品的生产规模等最核心的商业机密，将完全暴露在包括竞争对手在内的所有链上参与者面前。竞争对手可以借此精准推算出苹果的成本结构与产品策略，这种因解决旧问题而引入的新风险，极大地阻碍了区块链技术在企业核心业务场景中的落地。

以汽车制造业、消费电子业及其庞大的供应商网络为代表的复杂产业链，正寻求一种能同时满足以下两个看似矛盾目标的创新方案：第一，必须实现业务流程的自动化与关键数据的可验证性，满足信任需求，打通融资瓶颈；第二，必须确保所有敏感的商业细节在协作过程中得到绝对保护，避免核心竞争优势的泄露。

行业内的探索已验证了这一方向的可行性。Baseline Protocol项目（由安永、微软、AMD等行业巨头共同推动）是这一领域的先驱。其核心在于利用先进的密码学技术，使企业系统能在公有区块链上同步业务流程状态，同时确保所有商业敏感数据得到保密。这一实践有力地证明了，通过技术手段实现“协同中的竞争”是可能的——即在提升供应链整体效率与信任度的同时，为每个参与者构筑起坚固的数据护城河。

本分链的隐私支付功能，正是为应对这一复杂挑战而生。基于TX-SHIELD的可验证隐私技术，我们可以在区块链上构建一个可信的结算层。在此层面上，供应商可以向金融机构证明其应收账款的有效性与合规性，而无需公开任何涉及具体金额、对手方身份或合同细节等敏感信息。这就在不泄露任何商业机密的前提下，为金融机构提供了其决策所需的关键信任要素。参考麦肯锡对数字化供应链的预测，此类方案有望显著优化供应链资金周转效率，将结算周期从数月缩短至数天，为激活产业链活力、降低综合融资成本提供强大的下一代基础设施。

3. 跨境B2B支付与结算：以SHEIN全球供应链为例，平衡效率、成本与商业机密

传统跨境支付体系受限于速度与成本问题已持续数十年。通过SWIFT等传统代理行渠道进行的支付，通常需要2至5天才能完成，并伴随着高昂的手续费与不透明的中间环节。以全球快时尚巨头SHEIN为例，其商业模式高度依赖一个由数千家供应商组成的、需要快速响应的全球供应链网络。因此，其对跨境支付的效率与成本极为敏感。为解决传统SWIFT体系的弊病，业界自然会探索如稳定币这类更高效的区块链方案。然而，即便引入稳定币等新型工具试图提升效率，企业仍不得不面对不同法域间数据隐私规则（如欧盟GDPR）与复杂合规要求所带来的叠加挑战。况且，对于SHEIN而言，透明区块链上的每一笔支付都可能无意中向其竞争对手Temu揭示其针对不同供应商的精确采购价格、订单分配策略乃至全球资金调配路径，这对其最核心的竞争壁垒构成了直接威胁。企业迫切需要一种支付解决方案，它必须同时具备传统银行系统的隐私保障、稳定币的结算速度、以及应对全球复杂监管框架的合规灵活性。

BenFen Chain隐私支付为此提供了全新的解决方案，一个“B2B跨境隐私结算层”。该方案采用了TX-SHIELD的隐私保护稳定币技术，企业间的跨境交易可以在链上近乎瞬时地完成，而关键的交易金额与对手方身份信息则被隐藏，仅对交易双方及获得授权的监管机构可见。该方案的预期效果是实现秒级结算，将平均手续费降低超过50%，并在此过程中确保企业的采购策略与销售渠道等核心商业机密零泄露，从而在激烈的全球贸易竞争中为企业构筑起关键的信息优势。

4. 财库管理隐私化：以 MicroStrategy 为例，重塑企业级区块链财务体系

在全球企业加速数字化的过程中，财库管理（Treasury Management） 已从后台职能转变为企业战略的核心之一。它不仅决定着企业资金的安全与流动性，更直接影响到资本结构、市场信号与战略决策。然而，随着越来越多企业尝试利用区块链和加密资产优化财库结构，新的问题也随之浮现——效率提升的同时，信息透明性反而带来了战略暴露的风险。以美国上市公司 MicroStrategy 为例，这家企业是全球最知名的“区块链财库先行者”。自 2020 年起，MicroStrategy 持续通过债券融资与自有资金购买比特币，将其纳入企业资产负债表，用以对抗通胀与优化长期价值储备。其举动虽然成为企业资产配置创新的里程碑，却同时暴露了区块链公开账本的隐私困境。每一次公司进行资金划转、资产重平衡或新一轮购买行动，都会在链上被实时记录与分析，任何市场观察者都可从交易路径推测其仓位、成本区间甚至未来的操作意图。这意味着，区块链在带来透明与信任的同时，也让企业的资金调度、投资节奏、乃至内部财务结构暴露在全球分析者面前。对于一家上市公司而言，这不仅可能引发市场波动与投机行为，更会影响企业市值管理、债券评级乃至资本市场信号的精准控制。

越来越多企业已经不满足于传统财库系统的封闭与迟缓，也开始探索区块链化的实时财务体系，但他们同样担忧——一旦采用公开账本，是否等同于将所有资金流向公之于众？因此，企业迫切需要一种既能实现区块链“即时结算与自动化调度”优势，又能像传统银行体系那样保护资金隐私、满足审计合规的财库方案。

这正是本分链隐私支付系统的独特价值所在。通过TX-SHIELD提供的复杂MPC技术，本分链允许企业在链上完成资产划拨、收益再投资、或稳定币流动性调度等操作的同时，将关键财务信息（包括交易金额、流向、资产结构）进行隐私加密。系统会自动生成可验证的加密证明，仅对经授权的审计机构或监管节点开放可验证访问权限。这样，企业既能以区块链的高效率执行财库操作，又能在“链上可验证”的前提下实现“链外不可见”的隐私保护。

如果 MicroStrategy 在此架构下运行财库管理，其资金调度、币种分配与资产重平衡等动作将不再暴露于公开市场，但仍可确保所有链上操作符合法规、可被审计、并与财务报告一致。换言之，本分链使企业实现了真正意义上的“加密可验证财库”：公开监管、私密执行。

5. DAO财库管理与匿名资助：以Uniswap DAO为例，建立去中心化组织的“战略屏障”

大型DAO（如Uniswap DAO）通常管理着数亿甚至数十亿美元的资产，其财库的完全透明虽然是社区治理的基石，但也带来了现实的现状与痛点：当Uniswap DAO考虑投资一个早期的DeFi项目时，完全公开的谈判与转账细节，会使得其他巨鲸或竞争对手轻易捕获，导致DAO的买入成本飙升，投资策略完全失效。一个强烈的现实需求便是在保持社区对财库整体健康状况和资金使用大方向有效监督的前提下，为团队或特定委员会在执行投资、发放资助和奖励贡献者时，提供一定程度的操作隐私，以保护其竞争策略和运营效率。

我们设想在本分链上为DAO提供专用的“财库隐私金库”模块。 DAO可以通过本分链的隐私支付功能进行特定的机密投资、对项目的匿名资助以及对贡献者的私密奖励。事后，DAO可以通过选择性披露机制，向社区证明在特定时间段内资金使用的整体合理性与合规性，而无需公开每一笔敏感交易的细节。这一解决方案的技术可行性，已由Aztec Network 等专注于隐私的区块链项目在其官方用例中进行了验证。此外，Messari《理解去中心化机密计算（DeCC）》报告也从行业视角，为这类在保持去中心化前提下引入数据保密能力的探索提供了理论框架。这一方案将为DAO赋能，使其获得类似传统公司的“商业机密”保护能力，从而吸引更多寻求策略隐私的传统资本和机构通过DAO模式进入Web3世界，推动去中心化生态的进一步繁荣与成熟。

针对C端用户：隐私支付是个人财务尊严与生活自由的技术基石

1. 保护日常消费与数字生活：以加密货币交易员为例，守护“数字人格”

随着全球加密货币支付基础设施的完善——从Visa、Mastercard推出的加密卡，到PayPal、Revolut等主流金融科技公司集成USDC支付——越来越多用户开始在现实世界中使用加密货币完成日常交易。区块链支付正从“投资者的小众行为”走向“普罗大众的生活方式”。然而，一个被忽视的事实是：公开链的完全透明，正在让“数字生活”成为可被窥视的玻璃房。

设想一位知名的加密货币交易员或Web3创业者，如果他所有的消费行为——从购买星巴克咖啡、支付Netflix订阅，到为家人购买节日礼物——都通过同一公开钱包进行支付，这些信息就可以被轻易追踪、聚合与交叉分析。区块链分析公司、广告商等都能由此勾勒出他的生活轨迹、财富分布、兴趣偏好，甚至健康状况与家庭关系。这种全透明的数据暴露，使个人隐私、安全乃至人身自由受到威胁。事实上，这并非个案。2024年Chainalysis与CipherTrace的年度报告均指出，超过70%的链上身份画像建立，源自用户在“日常交易”中的行为暴露，而非在大型投资活动中。CoinDesk与The Block也在评论中直言：“没有隐私，加密货币支付将永远停留在实验阶段。”

想要让Web3支付真正走向主流，不仅要解决“效率与成本”问题，更要让用户重新拥有“数字人格的隐私边界”。换言之，隐私是支付走向大众化的前提条件，而不是锦上添花的技术选项。

BenFen Chain的隐私支付系统正是针对这一核心痛点设计的。基于本分链所打造的 BenPay （www.benpay.com）生态，用户可使用 BenPay 生态上的应用——BenPay Card 完成餐饮、订阅、出行、线上消费等日常小额支付，使稳定币支付以更低门槛、更高频的方式融入日常生活常小额支付，如餐饮、订阅、出行、线上消费等。系统基于复杂MPC技术，自动隐藏每笔交易的金额、时间、接收方信息以及不同交易之间的地址关联性。同时，本分链还设计了“选择性披露机制”——用户可在需要时，向商家或监管机构授予受限的交易可见性，实现“可验证但不被追踪”的支付体验。

这一方案的预期效果不仅是保障个人隐私，更是推动区块链支付走向真正的社会普及：

• 对普通消费者而言，它意味着在数字世界中恢复现金般的自由——消费不再成为数据挖掘的入口；

• 对商家而言，它提升了用户信任度，促进更高频的Web3原生支付使用；

• 对监管而言，隐私不再等同于“黑箱”，而是一种“有边界的透明”。

在更长远的意义上，隐私支付将成为数字生活的底层公共设施。它既是个人数据主权的技术体现，也是Web3经济真正融入社会生活的前提。

2. 保护敏感商品与服务购买：以处方药购买为例，捍卫个人消费隐私权

在全球合规压力与支付平台集中化日益加剧的背景下，消费者在购买合法但敏感的商品或服务时，正逐渐失去隐私保护的最后防线。传统支付体系通过集中化账户与身份验证机制，使得每一次交易都被可追溯、可分析，这对于需要定期购买处方药或心理健康服务的群体而言，无异于将个人生活暴露在聚光灯下。

而区块链支付，尤其是稳定币支付的兴起，为这类场景提供了一种全新的可能：它具备即时结算、跨境可达、无中介冻结风险等优势，尤其适合国际化数字生活中的敏感消费场景。然而，这一透明账本的特性也带来了更棘手的问题——当一笔购药或心理咨询的交易被记录在链上时，任何人都能追溯购买行为，从而还原个人健康、生活状态与经济状况。这种“透明反噬”使得区块链支付在最需要隐私的领域反而变得不可用。

CoinDesk 等主流媒体多次评论称：“没有隐私，加密货币支付将难以在主流消费场景中被采纳。”这一判断在市场上已有实证——门罗币（Monero）等隐私币在部分电商与敏感服务领域的使用，正说明用户对隐私保护的刚性需求。但这类方案往往与合规要求冲突，难以进入主流支付系统。

BenFen Chain的隐私支付功能对于此类场景非常有帮助。用户可以通过 BenPay 的生态应用 BenPay Merchant向商家支付款项，整个过程在链上完成，确保交易的执行，但关键的交易金额、双方地址信息以及由此推导出的具体消费内容均被隐藏。这使得用户能够安全地获取自己所需的服务，而无需担心私人生活的核心细节被永久记录在公开账本上，成为未来的隐患。我们想进一步推动隐私支付成为“敏感消费场景的默认支付选项”。对于用户而言，它如同提供了“消费自由护身符”，保障其在不伤害他人的前提下，依据个人意愿进行消费的基本权利，捍卫个人尊严；对于区块链支付生态而言，这是切入主流消费市场、满足用户深层需求的关键一步，因为它解决了一个在传统电子支付中同样存在，但在区块链上被极度放大的现实痛点。

3. 保护自由职业者与小微商户：以Upwork设计师为例，赋予个体“商业机密保护”

在全球数字经济与远程协作蓬勃发展的今天，自由职业者与小微商户对跨境结算的效率与灵活性需求迅速上升。越来越多的人开始采用区块链与稳定币支付，作为跨国收款与结算的新选项。无论是Upwork、Fiverr等传统平台的创意工作者，还是为DAO、NFT项目提供服务的Web3开发者，他们越来越多地接受USDT、USDC等稳定币支付。原因很现实：区块链支付跨境无障碍、结算即时、手续费更低，还能规避传统银行的复杂流程与地域限制。这使得稳定币成为全球自由职业市场的新通用货币。

然而，随着更多个体经济活动上链，他们也被动地暴露在“完全透明”的账本之上。一位在Upwork上接单的顶级UI设计师可能同时为资金紧张的初创公司和世界500强客户提供服务，其报价策略、收入波动甚至主要客户来源，一旦全部公开在链上，便可被竞争对手、客户甚至第三方数据分析公司轻易洞察。这种“链上裸奔”的状态让她在价格谈判中陷入被动，甚至可能引发信任与纠纷问题，直接削弱其商业定价能力和市场竞争力。个体经营者同样需要保护自己的“商业机密”——尤其是定价策略与客户关系。在传统经济中，这些信息天然受到银行账户隐私和商业保密制度的保护；但在链上经济中，他们几乎毫无屏障。

这种“透明反噬”现象正在成为新一代个体经济的隐忧。Stripe、Payoneer等中心化支付平台虽然在隐私上提供一定保护，但用户需将数据完全交托平台，无法自主控制自己的商业信息。CoinDesk在2024年报告中也指出，“在Web3经济中，隐私不再只是个人议题，而是商业竞争力的一部分。” 本分链隐私支付正是为此类用户群体提供的结构性解法。通过使用本分链收款，个体工作者与商户可以在链上安全完成支付，同时隐藏交易金额、对手方身份与交易关联性，从而有效防止外部推断其报价策略或客户关系。该机制既保留了区块链支付的高效、低成本与全球可达优势，又提供了类似传统商业体系的保密性，让个体经济参与者首次拥有“技术层面的议价保护伞”。让独立设计师、开发者、内容创作者与跨境商户，都能像大型企业一样掌控自己的商业数据安全，在公平与尊重的市场环境中持续创造价值。

4. 地缘政治下的金融自卫：以土耳其设计师为例，构筑“经济生命线”

在地缘政治与宏观经济风险交织的当下，区块链正逐渐成为部分地区民众的“金融自卫工具”。在土耳其、阿根廷等经历恶性通货膨胀或严格资本管制的国家，自由职业者、小企业主乃至普通储户，往往无法通过传统银行体系安全地保全财富或进行跨境收付款。于是，他们开始转向区块链和稳定币，数字资产成为抵御本币贬值、规避资本封锁的“替代生命线”。

但新的困境随之出现：区块链的公开透明，使这些用户在链上“裸奔”。以一位土耳其居民为例，如果他希望将部分收入兑换为美元稳定币以抵御里拉贬值，却发现所有转账、资产余额和兑换路径都暴露在链上，意味着他所有的财务足迹都可能暴露于公众视野。这使其面临双重威胁：监管机构可能依据这些公开记录，判定其行为违反资本流动政策，从而启动“先冻结，后审查”的程序，导致资产被锁定；同时，公开的财富也使其极易成为不法分子的目标。这种“透明带来的脆弱”，让区块链在高风险国家的保护作用大打折扣。

这正催生出一个强烈的现实需求：在资本受限、货币动荡的地区，人们不仅需要去中心化的价值存储工具，更需要隐私层的保护机制——一种能够在不信任的环境中“活下去”的金融基础设施。本分链隐私支付正是对此的回应。用户在链上进行储蓄、并通过 BenPay C2C 完成点对点转账时，其资产余额与交易对手信息都将被隐藏，从而既能利用稳定币抵御通胀，又能规避链上透明性带来的风险。Chainalysis的研究数据显示，在高通胀与政治动荡地区，加密货币零售采用率显著上升，也印证了这一趋势的紧迫性。我们认为，隐私支付不仅是一种技术创新，更是一项“金融人权”基础设施。它为身处困境的个人提供保护其财富与自由交易的最后防线，成为他们在极端环境下维持经济活动、守护生存尊严的“经济逃生舱”。

5. 维护慈善捐赠的纯粹性：以匿名善举为例，守护行善初心

在当下的慈善领域，公众人物、企业家或普通善心人士在进行大额或敏感领域的捐赠后，一旦捐赠行为被公开，常常会面临舆论压力、道德绑架或持续的索捐请求。例如，一位希望资助前沿科技探索或边缘艺术创作的企业家，可能不希望自己的名字与这笔捐赠公开关联，以避免不必要的商业关注或公众误解。这使得本应纯粹的善举变了味道，甚至让部分潜在捐赠者望而却步。希望匿名行善的个人以及注重保护捐助者隐私的慈善机构，都需要一种既能确保善款安全、可追溯地到达受助方，又能完全保护捐赠人匿名性的支付方式，让善意得以自由流淌。以太坊创始人Vitalik Buterin曾使用Tornado Cash向乌克兰进行匿名捐赠的案例，就是一个强有力的例证，它表明即使是行业领袖，在某些情境下也存在保护捐赠隐私的强烈愿望。

BenFen Chain隐私支付是实现这一目标的理想工具。 捐赠者可以直接通过本分链向慈善机构的公开地址进行捐款，整个过程完全隐藏捐赠人的钱包地址和具体捐赠金额。本分可以进一步推动与大型公益基金会合作，共同促进“慈善隐私支付”标准的建立。 重塑慈善文化，鼓励更多出于本心的捐赠行为，特别是吸引那些不愿露富或因各种原因希望保持低调的捐赠者参与公益，让善行真正回归其最纯粹、最自由的本质。

针对G端与第三方：隐私支付是实现“精准合规”的下一代监管科技

1. 实现“可审计的隐私”：以Tornado Cash事件为例，探索AML/CFT合规新范式

随着区块链技术不断演进，尤其是匿名性与隐私保护功能的强化，传统金融监管体系正受到前所未有的压力。监管机构历来依赖交易可追溯性和主体可识别性两大支柱来执行AML/CFT职责，但强隐私技术在保护用户数据的同时，也削弱了监管在链上获取交易信息的能力。这种“技术性失明”迫使监管机构不得不依赖属地管辖、制裁可控实体等传统手段，而无法区分合法用户与违规行为者，从而导致监管措施往往呈现“一刀切”特征——既打击非法活动，也限制了公民进行合法隐私交易的自由。

Tornado Cash事件正是这种困境的典型案例。2022年，美国财政部制裁Tornado Cash，原因是该混币器被部分恶意行为者用于洗钱，包括与朝鲜黑客组织相关的资金流（U.S. Treasury, 2022）。事件显示，在无法高效管理匿名交易的情况下，监管只能采取间接手段控制风险，而无法精准识别合法与违规交易。这揭示了一个深层矛盾：旨在保护个体权利的隐私技术，与维护公共安全的监管体系，在现有架构下陷入博弈。监管机构亟需一种技术手段，使其能够在不监控所有合法交易、不侵犯公众隐私权的前提下，实现高效、精准的非法活动识别与防控，即从“粗放式封锁”向“精准化治理”跃迁。

本分链在此背景下提出了“可审计隐私”的创新解决方案。我们通过复杂多方安全计算（MPC）将合规能力内置于协议层，使“可监管性”成为核心特性，而非事后附加功能。具体而言，监管机构可以验证交易合规性（如“该笔交易未涉及制裁名单上的地址”），而无需查看交易金额和参与者身份，实现从传统的“数据监管”向“逻辑监管”的技术范式升级。

本分链的架构采用双层合规设计：

• 第一层：KYC身份基础 与合规服务商合作，为企业及高频用户提供链下KYC认证，并生成可验证凭证。这不仅确保了参与方合法，也为AML/CFT提供了制度基础，是所有高级金融活动（尤其是企业支付、发薪等）的信任锚点。

• 第二层：协议层可审计隐私 在确认身份合规的基础上，将MPC与零知识证明技术结合，实现交易隐私保护与可审计性。监管方可验证交易合规性，而无需暴露交易金额或双方身份信息，从而保证绝大多数合法交易享有默认隐私，同时为监管提供精准治理工具。

这一双层架构系统性地解决了监管的核心矛盾：监管机构能够高效打击非法活动，企业和个人用户则可在合规框架下保护财务数据和商业机密。本分链由此为区块链金融的企业级大规模应用提供了关键基础设施，使“隐私与合规”不再对立，开创了一个新的合规科技时代。

2. 提升税务审计效率：以中小科技公司稽查为例，构建更和谐的征纳关系

在传统税务审计中，税务机关通常要求企业提供数年的银行流水和账目明细，以核实其税务申报的准确性和合规性。以某中型科技公司为例，其在接受常规税务稽查时，不仅需要提供过去数年的交易账本，还面临审计过程耗时数月、严重干扰研发和运营节奏的问题。更重要的是，公司管理层始终担心客户名单、合作伙伴及定价策略等核心商业秘密在漫长审计过程中可能泄露。这种模式体现了双方共同面临的困境：既要确保税收公平，又要尽量减少对企业正常经营的干扰。

随着区块链技术的成熟，企业开始探索在日常经营中使用区块链记录交易数据，以提升效率、透明度和安全性。一些区块链平台（如以太坊、Hyperledger）可以实现财务交易的实时上链和自动化记录，为税务审计提供潜在便利。普华永道（PwC）也曾提出利用区块链技术追踪企业税款和交易的方案，旨在提高税务合规性与透明度，通过链上数据减少人工审计负担。

然而，现有区块链方案仍存在重大问题：透明账本虽然提供了完整的交易记录，但每笔交易的金额、交易双方及其关联关系都对外公开，这会导致企业商业机密暴露，尤其是涉及客户名单、收入结构和合作伙伴信息的敏感数据。因此，仅靠传统区块链记录，并不能解决审计过程中对企业隐私保护的需求。

BenFen Chain的隐私支付及相关技术应运而生，旨在填补这一空白。企业在日常经营中使用本分链记录交易时，可以在审计过程中生成必要的证明，向税务局验证命题，而无需披露每笔交易细节。这种“数据可用不可见”的设计，在确保审计合规性的同时，有效保护了企业的商业机密和客户隐私。进一步地，本分链将复杂的隐私计算技术（复杂MPC）集成在协议层，并结合链下KYC认证，形成“双层合规体系”。监管机构可以验证交易的合规性，而无需查看具体金额和交易双方信息，实现“默认隐私，选择性披露”的高级标准。这不仅提升了税务审计效率，降低企业合规成本，也帮助构建更互信、更高效的征纳关系，推动区块链在企业财务管理和税务合规领域的大规模应用。

我们以上深入剖析的十二个场景，共同印证了一个核心观点：隐私支付并非一个边缘化的功能，而是修复现有区块链范式关键缺陷、释放其真正潜力的核心组件。它通过为商业机密、个人尊严与合规效率提供精细化的技术保障，使得区块链技术能够更好地服务于主流商业社会、个体用户与监管体系。

然而，这仅仅是一个开始。 当“支付隐私”成为一个可靠的基础能力后，一个更广阔的创新空间将被打开。想象一下:

• 如果机构可以在链上执行策略而不被狙击,DeFi 的流动性会增长多少倍?

• 如果 DAO 的投票不再被大户影响,治理会变得多公平?（e.g. A16Z在Uniswap有一票否决权）

• 如果竞拍不再被"第一个出价"锚定预期,价格发现会多准确?

• 如果企业可以联合分析数据而不泄露商业秘密,会诞生多少新的协作模式?

这些场景在过去无法实现,不是因为技术不成熟,而是因为"透明"与"隐私"的矛盾没有被解决。 当你必须在"公开换信任"和"隐私但孤立"之间二选一时,很多高价值的协作根本无法发生。现在我们来进一步思考当隐私成为基础设施,而不再是奢侈品,我们能用它构建什么?

这不是技术的炫技,而是对"信任"的重新定义——从"公开才能信任"到"加密也能信任",从"透明才能协作"到"隐私中也能协作"。

构建未来之梦 —— 从"隐私支付"到"隐私协作":一次范式跃迁

过去十年,我们见证了隐私技术在支付领域的突破——Zcash、Monero、Tornado Cash 等协议让"谁给谁转了多少钱"这件事变得不可追踪。这是隐私技术的 1.0 时代:信息隐藏。

但支付隐私（Payment Privacy) 仅仅是开始。真正的未来在于:流程隐私(Flow Privacy)、行为隐私(Behavioral Privacy)、以及最终的协作隐私(Collaborative Privacy)。

这三者的区别是什么?

• 流程隐私:隐藏交易策略、市场行为和意图模式

• 行为隐私——隐藏交易行为、策略路径与市场意图，防止被推测出操作模式

• 协作隐私:在多方之间建立"受保护的协作空间",数据不出本地,洞察在密态中共享

我们相信,未来的世界将以"受保护的协作"为核心,重新定义支付、交易、治理与社会合作的边界。

隐私不再是"看不见",而是"被选择地看见"。 信任不再源于中心,而来自可验证的加密协作。

这不是技术的小修小补,这是信任基础设施的重构。

1. 交易流程隐私:链上 Dark Pool 的诞生

   为什么机构需要隐私市场?

   传统区块链的透明性对散户是保护,对机构却是诅咒。

   当一家资管机构在链上执行大额交易时,整个市场都能看到:交易对手可以推测你的策略,套利者可以抢跑你的订单,竞争者可以复刻你的模型。这种"强制透明"让链上市场充满了信息不对称,反而扭曲了价格发现机制。

   在传统金融中,Dark Pool(暗池)的存在正是为了解决这个问题——让大宗交易在匿名环境中进行,避免市场冲击。但中心化的 Dark Pool 存在致命缺陷:

   • 运营方可以作恶:抢跑交易、泄露信息、操纵价格

   • 监管不透明:无法验证交易是否公平执行

   • 单点风险:中心化系统的崩溃会摧毁整个市场

   TX-SHIELD 正在构建的,是一个可监管的隐私市场层(Regulated Dark Pool On-Chain)——一个在去中心化环境中实现"选择性透明"的交易基础设施。而本分，正是这一基础设施的具象化与核心载体。

   技术如何实现"选择性透明"?

   这里的核心挑战是:如何让交易双方看到彼此,让监管方在必要时介入,但让市场其他参与者一无所知?

   TX-SHIELD 采用了多层隐私架构:

   1. 订单层:基于多方安全计算(MPC)的订单匹配机制,交易意图在密态下提交和撮合

   2. 执行层:零知识证明(ZKP)确保交易有效性可被验证,但具体参数(价格、数量、身份)不被公开

   3. 合规层:可选择性披露机制(Selective Disclosure),监管方持有解密密钥,可在司法程序下访问特定交易记录

   这意味着:

   • 市场不再因公开而被操纵 — 交易意图在执行前保密

   • 机构可以在链上安全执行策略 — 无需担心信息泄露

   • 稳定币、RWA(真实世界资产)能在隐私中流通 — 合规与隐私兼得

   Dark Pool 不仅是市场工具,更是隐私金融的底层基建。它让传统金融机构第一次可以认真考虑"上链",因为他们不再需要在透明性和策略保护之间做选择。

   

   2. DAO治理:保密投票如何重塑 DAO

   DAO 治理的困境:透明的代价

   去中心化自治组织(DAO)的理想是:让社区成员通过投票共同决策,用代码和共识取代传统的层级结构。

   但现实中的 DAO 治理往往事与愿违:

   • 投票结果被提前观察:大户的投票会影响小户的决策,形成"跟风效应" （e.g. Uniswap, Radiant Capital)

   • 社交影响力绑架理性:知名 KOL 的公开立场会压制不同意见

   • 贿选和串通:当投票结果实时可见,协调攻击变得容易

   这些问题的根源在于:过度透明导致了信息不对称,而不是解决了信息不对称。

   真正的民主需要两个条件:自由表达(不受他人影响)和结果可验证(确保没有作弊)。传统的公开投票只满足了第二个条件。

   保密投票:让治理重新诚实

   TX-SHIELD 的保密投票机制基于同态加密(Homomorphic Encryption)和多方安全计算(MPC):

   • 投票者提交的选票在密态下被提交到链上

   • 计票过程在加密状态下进行,无人能看到单个投票内容

   • 最终结果通过零知识证明被公开验证,确保计票过程正确

   这看似简单,实则重新定义了 DAO 的信任逻辑:

   "隐私让治理变得诚实。"

   在这个框架下:

   • 每个人的投票都是独立的,不受他人影响

   • 大户无法通过"信号展示"操纵小户

   • 结果的正确性可以被数学验证,而非依赖信任

   更重要的是,这种机制可以扩展到更复杂的治理场景:

   • 分级治理:不同权重的投票者,权重在密态下聚合

   • 委托投票:委托关系保密,但投票结果可追溯

   • 预测市场:基于保密投票的去中心化预测市场

   当治理从"公开的透明"转向"可验证的隐私",DAO 才真正拥有了成为新型组织形态的可能。

   3. 保密竞拍释放真实价值

   竞拍的本质是什么?

   在经济学中,竞拍被视为"价格发现机制"——通过竞争让物品回归真实价值。

   但传统竞拍有一个根本性缺陷:信息锚定效应(Anchoring Effect)。

   当第一个竞标者出价 100 万,其他人的心理预期就被锚定在这个数字附近。即使有人认为物品价值 200 万,他也可能只出价 110 万——因为他害怕"出价太高"而显得愚蠢。

   结果就是:竞拍不是在发现价格,而是在引导价格。 第一个出价的人控制了整个市场的心理预期。

   密封竞拍的区块链实现

   TX-SHIELD 的隐私竞拍机制采用了密封竞标(Sealed-Bid Auction)的数字化形态:

   1. 提交阶段:竞标者提交加密的出价,任何人(包括拍卖方)都无法看到具体金额

   2. 揭示阶段:所有出价在约定时间后通过智能合约自动解密

   3. 结算阶段:最高价者获胜,其他人的出价退回(或根据机制设计采用第二价格拍卖)

   这让市场第一次真正实现了"信息对称的竞争"——每个竞标者的出价都基于自己的真实估值,而非他人的信号。

   应用场景:从 NFT 到碳信用

   这种机制可以被应用于所有需要"公平价格发现"的场景:

   • NFT 拍卖:艺术品价值由真实需求决定,而非炒作预期

   • 碳信用市场:企业根据实际减排成本竞标,而非策略性出价

   • 频谱拍卖:政府出售频谱资源,运营商无法通过信号博弈压低价格

   • 数据拍卖:企业在隐私保护下竞购数据集,避免价格泄露商业策略

   保密竞拍不仅是一个技术工具,更是隐私技术进入价值发现层的关键一步。 它证明了:隐私不是效率的敌人,而是公平市场的前提。

   

   4. 解锁全新的协作模式

   隐私的终局:社会协作的重构

   如果说前三个场景是隐私技术在"交易"和"治理"层面的应用,那么第四个维度则是社会协作本身的重构。

   当个体、机构、机器都能在密态下安全协作时,我们开始解锁新的社会经济模式——这些模式在过去因为"信任成本过高"或"隐私无法保障"而无法实现。

   场景一:匿名创作奖励系统

   问题:创作者在发布作品时往往面临"身份偏见"——知名作者的作品容易获得关注,新人作品被埋没。这导致评价体系失真。

   TX-SHIELD 方案:

   • 作品在提交时身份被加密隐藏

   • 评审和打赏在匿名状态下进行

   • 作品质量达到阈值后,创作者可选择公开身份

   • 分润通过智能合约自动执行,创作者、策展人、平台按比例分配

   这种模式已经在音乐、文学、设计等领域展现出潜力——当"作品"与"作者"解绑,创意的价值才能被纯粹地评估。

   场景二:去中心化信用借贷

   问题:传统信用评估依赖中心化机构(银行、征信公司),但这些机构要么无法覆盖全球用户,要么存在数据垄断和隐私滥用问题。

   TX-SHIELD 方案:

   • 用户的链上行为(交易历史、DeFi 参与度、社交信誉)在密态下被聚合为"信用评分"

   • 借贷双方无需暴露具体数据,但可以验证对方的信用等级

   • 评分模型由社区治理,算法透明但数据隐私

   这种"以加密数据评估信用,而非身份"的模式,让无银行账户人群(Unbanked)也能获得金融服务,同时保护隐私不被滥用。

   场景三:跨企业联合数据协作

   问题:医疗、金融、物流等行业拥有大量高价值数据,但因为隐私法规(GDPR、HIPAA)和竞争关系,这些数据无法共享。这导致 AI 模型训练受限,行业洞察无法产生。

   TX-SHIELD 方案:

   • 基于联邦学习(Federated Learning)和多方安全计算(MPC)框架,数据留在企业本地

   • 模型训练在密态下进行,只共享梯度更新(且梯度经过差分隐私处理)

   • 最终模型由所有参与方共同拥有,但没有任何一方能访问他方原始数据

   这种模式正在改变医疗研究(多医院联合训练诊断模型)、金融风控(多银行联合反欺诈)、供应链优化(多企业联合预测需求)等领域。

   这正是 TX-SHIELD 的 MPC-FL(多方安全计算 + 联邦学习)框架的愿景:一个能让"隐私成为社会协作基础设施"的体系。更关键的是, TX-SHIELD 解决了联邦学习中的核心难题: 如何公平量化每一方的贡献? 这是 TX-SHIELD 与传统联邦学习方案的本质区别。

   在传统的联邦学习中,所有参与方共同训练一个模型,但无法准确衡量谁贡献了多少价值。这导致两个致命问题:

   • 搭便车问题:数据质量差的一方也能享受同等权益

   • 激励失衡:数据价值高的一方没有动力持续参与

   TX-SHIELD 的框架通过密态计算,能够在不暴露原始数据的情况下,对每一方的模型贡献进行量化和打分:

   • 企业A贡献了30% — 其数据对模型准确度提升的边际贡献

   • 企业B贡献了34% — 其数据覆盖了关键的长尾场景

   • 企业C贡献了36% — 其数据质量最高,降低了模型方差

   基于这个贡献度量,权益被自动分配:

   • 治理权:投票权重与贡献度成正比,高贡献方在模型迭代决策中拥有更大话语权

   • 收益权:模型商业化收入按贡献度分配,多劳多得

   • 数据主权:任何一方可随时退出,其贡献被记录但数据不被保留

   这种贡献度不是一次性计算,而是随着模型迭代动态更新。 当某一方持续提供高质量数据,其权益占比会逐步提升;如果数据质量下降或停止贡献,占比则相应降低。只有当模型不再更新时,权益分配才会固化。这形成了一个自我优化的激励机制——参与方有动力持续提供高质量数据,而非"一锤子买卖"。

   

   这是 TX-SHIELD 与传统联邦学习方案的本质区别。

   Google的Federated Learning、OpenMined等方案解决了"如何在隐私保护下训练模型"的问题,但它们默认所有参与方平等——无论你提供100万条高质量数据,还是1万条噪声数据,你的权益都一样。

   TX-SHIELD 则进一步回答了:在隐私保护下,如何确保协作的公平性? 我们不仅保护隐私,更量化贡献、分配权益。

   这种"可验证的公平性"让协作从"道德约束"变成"机制保障":

   在医疗领域,大型三甲医院和基层诊所可以公平协作——三甲医院提供复杂病例数据,基层诊所提供常见病数据,双方的贡献都被准确计量,不再是"大医院主导,小诊所陪跑"。

   在金融领域,大银行和小型金融科技公司可以联合反欺诈——大银行的历史数据和小公司的实时数据都有价值,权益按实际贡献分配,不再是"大吃小"的零和博弈。

   在供应链领域,品牌商、物流公司、零售商可以联合优化库存——每一方的数据(销售预测、运输效率、库存周转)都被量化为模型改进的具体贡献,收益按比例共享。

   这不仅是技术创新,更是协作范式的革命:当贡献可被量化,信任就能被计算;当权益能被验证,协作就能发生且持续。

   场景四: 密态协作基础设施与数据量化

   最激进的想象是:未来的智能不属于单个 AI,而属于 AI 网络。 多个 AI Agent 将在受信隐私层中协作,就像神经元组成大脑——单个神经元平凡,网络连接创造意识。

   为什么 AI 需要协作?

   今天的 AI 模型越来越专业化:有的擅长图像识别,有的精通自然语言,有的专攻数学推理。但真实世界的问题往往需要跨领域能力——诊断疾病需要同时分析医学影像、病历文本和基因数据;自动驾驶需要整合视觉感知、路径规划和交通预测。

   单个 AI 无法包揽一切,协作成为必然。

   但这里有个根本性矛盾:AI 模型是资产,是竞争力。当两个 AI 需要协作时,它们不能简单地"互相公开"——这会导致模型被逆向工程、训练数据被推断、商业秘密被泄露。

   TX-SHIELD 的核心方案是: 提供构建 AI 协作的密码学基础设施。

   

   具体场景:

   医疗诊断协作

   • Agent A(影像AI)分析CT扫描,发现肺部异常

   • Agent B(病理AI)根据症状描述推断可能病因

   • Agent C(基因AI)基于患者基因型评估治疗方案

   • 三个 AI 在密态下交换推理结果,生成综合诊断报告

   • 但没有任何一个 AI 能看到其他 AI 的模型参数或训练数据

   金融风控协作

   • Agent A(交易AI)检测异常交易模式

   • Agent B(信用AI)评估用户历史信用记录

   • Agent C(反欺诈AI)交叉验证多源数据

   • 最终输出风险评分,但各 AI 的模型和数据保持隔离

   自动驾驶协作

   • 车辆 AI 需要与城市交通系统 AI、天气预测 AI、物流调度 AI 协作

   • 它们在密态下共享必要信息(路况、天气、配送需求)

   • 但各自的算法逻辑、历史轨迹数据、商业策略保持私密

   技术实现: 密态模型推理协作

   当 AI 智能体需要共享模型、经验、推理结果时,它们不应该将数据直接暴露给彼此(这会导致模型被逆向工程或数据泄露),而应该在密态下交换信息:

   • Agent A 和 Agent B 在不暴露各自模型的情况下,共同推理出一个结论

   • Agent C 可以验证这个结论的正确性,但无法反推出 A 和 B 的模型参数

   • 协作过程可被审计,但推理细节保持隐私

   

   这种"密态协作"将成为未来 AI 经济的基础。

   当 AI Agent 开始拥有资产(加密钱包、数字身份)、执行合约(链上智能合约)、提供服务(API调用、数据交换)时,它们之间的信任机制必须是密码学级别的——不是"我相信你不作恶",而是"密码学保证你无法作恶"。

   更进一步,TX-SHIELD 的贡献量化机制也可以应用于 AI 协作:每个 Agent 对最终结果的贡献可被量化,收益按比例分配。 这让 AI 之间形成真正的"经济协作"而非单纯的技术对接。

   想象一个基于 TX-SHIELD 框架的未来 Web3 协作场景：

   • 一个医疗诊断任务由5个专业 AI 协作完成,收费100美元

   • 影像AI贡献35%,病理AI贡献30%,基因AI贡献20%,药物AI贡献10%,协调AI贡献5%

   • 收益自动分配:35/30/20/10/5美元

   • 整个过程在链上可验证,但各 AI 的模型和数据完全隐私

   这不是科幻,这是密码学、区块链、AI 三者融合的必然方向。

   TX-SHIELD 希望成为这个 AI 协作网络的信任基础设施——让Agentic AI或者机器人能像人类一样协作,但比人类更可信。在新范式中,信任来自密码学——你无需公开信息,只需证明你遵守了规则。零知识证明、多方安全计算、联邦学习,这些技术让"验证"与"公开"解绑,让"协作"与"暴露"分离。我们相信,隐私不是边界,而是通向未来的桥梁。

   结语:隐私是信任的新语言

   我们从“解决当下之痛”出发，见证了隐私支付如何作为一道坚固的屏障，保护商业机密、捍卫个人尊严、实现精准合规。它修复了透明区块链的固有缺陷，使其真正具备了服务现实世界的能力。进而，我们迈向“构建未来之梦”，畅想了当隐私成为默认设置后，所激发出的无限可能。从链上Dark Pool到保密投票，从保密竞拍到全新的数据协作范式，我们清晰地看到，隐私不再仅仅关乎“隐藏”，更关乎“赋能”；它不仅是防御的盾牌，更是协作的引擎。

   这是一场深刻的范式转移：我们正从一个必须用“透明换取信任”的时代，走向一个可以用“密码学担保信任”的新纪元。信任的来源，从被迫的公开曝光，转向了可验证的机密计算。

   本分公链与 TX-SHIELD 的联合探索，其愿景正在于此：我们不仅是在开发一项功能或一套协议，更是在共同铺设下一代互联网的信任基石。在这个未来里：

   企业可以在竞争中无顾虑地协同，激发创新；

   个人可以在数字世界中自由生活，重掌主权；

   社会可以在保护隐私的前提下实现更高效的协作，释放集体智慧。

   隐私，从来都不是终点。它是通往一个更自由、更公平、更高效数字文明的起点。而我们，正在携手将它变为现实。

   关于本分（BenFen）

   本分链（BenFen）是专为稳定币支付构建的高性能公链。我们以Move语言为基础，打造了一个安全、低成本且高度可扩展的底层网络。其核心特色在于支持用户直接使用稳定币支付Gas费，这极大地降低了使用门槛，为大规模应用铺平了道路。在强大的跨链与多币种结算能力之上，本分链通过丰富的生态应用覆盖多元支付场景。更重要的是，我们为企业级用户提供了至关重要的隐私支付选择，确保其在享受区块链效率优势的同时，能保护核心商业数据不被泄露。

   本分致力于成为服务企业付薪、跨境支付、电商及线下商户的全球稳定币流通网络，一个兼顾效率、成本与安全性的下一代金融基础设施。

   关于 TX-SHIELD TX-SHIELD 是一套可监管的链上隐私结算基础设施，为稳定币与区块链应用提供双方隐私、监管可视的支付与结算能力。

   核心解决方案：

   • TX-SHIELD： 面向区块链应用的隐私基础设施，实现保密交易、暗池（Dark Pool）以及以隐私为核心的协议层。

   我们的创新：

   我们不仅保护交易隐私，更通过分布式密码学重塑资产的权属与安全。TX-SHIELD 的方案让企业与金融机构能够在不泄露商业机密的前提下，实现资产的联合托管、隐私清算与可监管的合规审计。

   我们正在构建这样一层基础设施：让隐私不再成为监管与机构采用的阻碍，而是成为金融流动的保护层。

   TX-SHIELD — The private and regulatable settlement base-layer for stablecoin, blockchain and enterprise.

   

BenPay, as a next-generation on-chain financial hub, is committed to solving these challenges. Built on the high-performance BenFen Chain, it aggregates stablecoin liquidity, enables cross-chain asset transfers, and merges payment and DeFi scenarios to create a multi-currency stablecoin financial operating system for global users and merchants.

BenPay connects not just assets, but real-world value flows.

I. Technical Basis: BenFen Public Chain's Performance Base for Stablecoins

BenPay's underlying infrastructure is the BenFen public chain - a high-performance public chain built specifically for stablecoins and financial applications. BenFen is built on the Move language, adopts a secure composable resource model, combines DAG structure and concurrent transaction processing architecture, and provides:

• Sub-second latency

• High TPS throughput

• Ultra-low gas fees (below $0.001)

Meanwhile, BenPay integrates zkLogin privacy authentication technology, allowing users to log in to on-chain wallets with one click through social accounts such as Google and Apple. Compared to traditional private key systems, zkLogin balances privacy protection and User Experience, significantly reducing the threshold for Web2 users to enter Web3.

Furthermore, BenFen establishes a stablecoin value anchor through BUSD (BenFen USD). All BenPay transactions, top-ups, and payments are priced using BUSD , ensuring a unified, trustless asset-pegging system.

II. Core Product Suite: Eight Modules Building a Closed-Loop On-Chain Financial Ecosystem

BenPay has built a highly composable financial module with stablecoin flow as the main line, forming a complete ecosystem covering payment, transaction, lending, social, and cross-chain.

1.BenPay Card: USDC Direct Top-Up, 0 recharge fee, Global USD Spending

The BenPay Card is a stablecoin payment card designed for global users. It supports one-click recharge of USDC and automatically converts to BUSD (anchored to 1 US dollar) at a 1:1 ratio, allowing users to make global online/offline purchases denominated in US dollars.

Supported platforms include: Amazon, Google Play, Google Cloud, WeChatPay, Steam, Twitter and other mainstream applications and commercial scenarios, covering high-frequency daily life and global consumption needs.

In addition, the card has the features of high limit, low handling fee and global availability, so users can realize the transformation of assets on the chain to real consumption without complicated operation, which can really open the last kilometer of “chain to offline”.

Together with BenPay upcoming card level entitlement system and physical card functions (BlueFlow Card, GoldPulse Card, PlatinumHalo Card), digital assets will have richer payment usage scenarios such as spending rebates and ATM cash consumption.

2.BenPay DEX: Upcoming Stablecoin-Centric On-Chain Trading Platform

Focused on stablecoin swaps, BenPay DEX leverages a Concentrated Liquidity Market Maker (CLMM) model, offering:

• Low-slippage trading

• Real-time exchange rates

• Transparent on-chain pricing

Supports trading of mainstream stablecoin pairs such as BUSD/USDC, BUSD/USDT, and is an efficient entry point for stablecoin users to conduct Asset Allocation and exchange.

3.BenPay Bridge: Secure Cross-Chain Bridge for ETH/BSC/Polygon

BenPay Bridge supports asset transfer between mainstream chains. Currently, it integrates ecosystems such as Ethereum, Binance Smart Chain (BSC), and Polygon to achieve secure asset migration between different chains.

The bridge uses an in-chain verification mechanism to simplify the cross-chain relay process, improve asset composability and liquidity freedom, and greatly reduce transaction risks.

4.BenPay C2C: Truly Decentralized Peer-to-Peer Marketplace

BenPay C2C module reconstructs the traditional OTC process by removing the aggregator and centralized custodian, and allowing users to directly conduct peer-to-peer asset transactions through smart contracts:

• P2P matching without third parties

• Support for stablecoin/crypto trading pairs

• Fully auditable on-chain orders and settlements

This significantly reduces the threshold for asset transfer and fiat currency docking between users, and is an important entry point for Web3 users to manage digital assets.

5.BenPay Collateralized Lending: Flexible Stablecoin Loans with Dynamic Rates

BenPay Collateralized Lending supports users to collateralize assets such as BTC/BUSD/USDT for on-chain lending and borrowing through a flexible pledge mechanism with:

• Dynamic interest rates (supply-demand adjusted)

• Risk-visualization controls

• Smart liquidation protection

This feature provides credit extension capabilities for assets such as stablecoins, improves on-chain capital utilization, and will become an important cornerstone of the on-chain DeFi derivative ecosystem.

6.BenPay On-Chain Red Packets: Social Payments Meets Asset Interaction

BenPay is the world's first on-chain red envelope mechanism, integrating transfer behavior with social interaction, supporting:

• Fixed/random amount red packets

• Standard, lucky draw, or password-based red packets

• Generate sharing links with one click

In Web3 high-frequency interactive scenarios such as DAO incentives, content rewards, and cybertribe operations, BenPay red packets provide a new incentive model.

7.zkLogin Wallet: Privacy-enhanced One-click Social Login Experience

BenPay addresses the pain points of traditional mnemonics by introducing Zero Knowledge Proofs (zk-SNARKs), which allow users to log in via Google/Apple accounts with a single click, eliminating the need to memorize complex mnemonics.

At this point, the technological breakthrough ultimately translates into a leap in user experience, clearing the final obstacle for large-scale user migration. Users can generate zkLogin wallets with one click through accounts such as Google and Apple, generate private keys locally, and verify them on the chain through zero-knowledge proof, ensuring:

• Full privacy protection

• Seedless convenience

• Multi-device support

This mechanism ensures that the private key is generated locally and cannot be obtained by third-party platforms, while reducing the entry threshold for Web2 users to a minimalist operation of "click login". It will greatly promote Web2 users to enter the BenPay ecosystem without barriers and support large-scale user growth.

8.Merchant Payments: On-chain Payment System Connects Web3 with the Real Economy

The BenPay merchant system supports two main payment methods:

• Crypto-to-Crypto: Direct crypto payments

• Fiat-Crypto: Fiat currency conversion payment mode (access to compliance payment channel)

All transaction records are transparent on the chain and can be used for auditing and traceability, especially suitable for small and medium-sized merchants, digital creators, cross-border service platforms and other groups.

Ⅲ.Application scenario innovation: from technical products to value network landing practice

BenPay's innovation also lies in redefining the possibilities of on-chain finance by solving the pain points that cannot be overcome by traditional models through two core scenarios:

1.Cross-border transfer: opening the era of high efficiency and low cost

In traditional cross-border transfer, companies need to use the SWIFT system to transfer US dollars, which takes 2-3 days and incurs fees as high as 1-3%. BenPay's multi-currency stablecoin system (such as BUSD and BINR) completely rewrites this situation: Hong Kong companies can pay Indian suppliers through BINR, eliminating the US dollar transfer process, compressing transaction confirmation time to 1 second, and reducing costs by 99%.

2.Stablecoin Ecology: Upgrading the Paradigm from "Centralized Custody" to "Decentralized Stability"

In the field of stablecoins, traditional projects such as USDT rely on centralized custody, which poses problems such as insufficient transparency and reserve risks. BenPay's BUSD adopts a decentralized model of "50% BFC Permanent Lock + Dynamic Liquidity Adjustment". Through the collaboration of elastic supply algorithm and BenPay DEX, it achieves super stability anchored to 1:1 USD, with price fluctuations controlled within a certain range, far exceeding the industry average.

This "decentralized publishing + intelligent algorithm regulation" model not only provides a reliable value storage medium for DeFi and on-chain finance, but also redefines the trust foundation of stablecoins - trust no longer comes from institutional endorsements, but from transparent mechanisms and economic models constructed by technology.

IV.Ecological strategic positioning: BenPay is not only a product, but also an on-chain financial infrastructure layer

BenPay is not just a single Payment Instrument, but a complete on-chain stablecoin financial operating system that builds multi-scenario asset circulation channels. Its system-level positioning is reflected in:

• Stablecoins as foundational value anchors

• Seamless integration of trading, payments, lending, social, and cross-chain functions

• Unified on-chain model for assets, identity, and behavior

• BUSD as the ecosystem stabilizer, driving economic closure

With the help of BenFen public chain technology, zkLogin login, ecological token BFC, etc., BenPay is building a truly Web3 financial infrastructure platform for global users.

Conclusion: Redefining the future of value flow on the chain

The future of stablecoins is not only about asset security, but also about how value flows. BenPay promotes the comprehensive upgrade of stablecoins from "on-chain value storage" to "on-chain payment" through technology integration, product portfolio, and ecological collaboration.

With the continuous expansion of the BenPay ecosystem, it is becoming a new pivot for on-chain finance - a multi-currency stablecoin financial operating system that allows assets to be paid, lent, socialized, and flowed across chains.

BenPay - a multi-currency stablecoin on-chain financial platform that connects global value flows.

Learn more: https://benpay.org

Experience the new era of Web3 payment immediately.

BenPay，作为新一代链上金融枢纽，正致力于解决这一问题。它基于高性能的 BenFen 公链构建，通过聚合稳定币流动性、打通跨链资产转移、融合支付与 DeFi 场景，打造面向全球用户与商户的多币种稳定币金融操作系统。

BenPay 不仅连接资产，更连接真实世界中的价值流动。

一、技术基础：BenFen 公链为稳定币打造的性能底座

BenPay 的底层基础设施是 BenFen 公链 ——专为稳定币和金融应用而建的高性能公链。BenFen 基于 Move 语言构建，采用安全可组合的资源模型，结合 DAG 结构与并发事务处理架构，提供：

• 亚秒级延迟（Sub-second latency）

• 超高TPS吞吐量

• 极低Gas费用（$0.001以下

同时，BenPay 集成了 zkLogin 隐私认证技术，允许用户通过 Google、Apple 等社交账户一键登录链上钱包。相比传统私钥体系，zkLogin 兼顾隐私保护与用户体验，显著降低 Web2 用户进入 Web3 的门槛。

BenFen 还通过 BUSD（BenFen USD） 打造稳定币价值中枢，所有 BenPay 交易、充值与支付均围绕 BUSD 等稳定币定价，提供统一、可信的资产锚定体系。

二、核心产品矩阵：八大模块构建链上金融闭环

BenPay构建了一套以稳定币流动为主线、高可组合性的金融模块，形成一个涵盖支付、交易、借贷、社交、跨链的完整生态系统。

1.BenPay Card：USDC 直充，0 充值费，全球美元消费

BenPay Card 是一款为全球用户设计的稳定币支付卡，支持 USDC一键充值，并自动 1:1 兑换为 BUSD（锚定1美元），使用户可以以美元计价形式进行全球线上/线下消费。

支持平台包括：Amazon、Google Play、Google Cloud、WeChatPay、Steam、Twitter 等主流应用和商用场景，覆盖高频日常生活与全球消费需求。

此外，卡片具备高额度、低手续费、全球可用等特性，用户无需复杂操作即可实现链上资产向真实消费的转化，真正打通“链上到线下”的最后一公里。

再加上BenPay即将推出的卡片等级权益系统与实体卡功能（海蓝卡、耀金卡、星穹卡），让数字资产拥有消费返利、ATM取现消费等更丰富的支付使用场景。

2.BenPay DEX：即将推出的稳定币主导的链上交易平台

BenPay DEX 专注于稳定币之间的交易兑换，采用集中式流动性模型（CLMM）提供：

• 低滑点撮合机制

• 实时汇率更新

• 链上透明定价

支持 BUSD/USDC、BUSD/USDT 等主流稳定币对的交易，是稳定币用户进行资产配置、兑换的高效率入口。

3.BenPay Bridge：连接ETH/BSC/Polygon的安全跨链桥

BenPay Bridge 支持主流链之间的资产转移，目前集成以太坊（Ethereum）、币安智能链（BSC）和Polygon等生态，实现不同链之间的资产安全迁移。

该桥采用链内验证机制，简化跨链中继流程，提升资产可组合性与流动性自由度，极大地降低交易风险。

4.BenPay C2C：真正去中心化的点对点交易市场

BenPay C2C 模块重构传统 OTC 流程，去除撮合商与中心化托管，用户通过智能合约直接进行点对点资产交易：

• 无需中介，完全 P2P 撮合

• 支持稳定币/加密资产交易对

• 链上订单、结算全程可查

这大幅降低了用户间资产转移与法币对接的门槛，是Web3用户管理数字资产的重要入口。

5.BenPay 抵押借贷：灵活抵押、动态利率的稳定币借贷服务

BenPay 抵押借贷通过灵活的质押机制，支持用户抵押 BTC/BUSD/USDT 等资产进行链上借贷，具备：

• 动态利率机制（供需调整）

• 风险可视化控制

• 智能清算保护

该功能为稳定币等资产提供信用延展能力，提升链上资本利用率，并将成为链上 DeFi 衍生品生态的重要基石。

6.BenPay 链上红包：社交支付与资产互动合一

BenPay 全球首创链上红包机制，将转账行为与社交互动融合，支持：

• 固定金额/随机金额红包

• 普通红包/拼手气红包/口令红包

• 一键生成分享链接

在 DAO 激励、内容打赏、社群运营等 Web3 高频互动场景中，BenPay 红包提供了全新激励模式。

7.zkLogin 钱包：隐私增强的一键社交登录体验

BenPay 针对传统助记词的使用痛点，引入零知识证明技术（zk-SNARKs），支持用户通过 Google/Apple账户一键登陆，无需记忆复杂助记词。

至此，技术突破最终转化为用户体验的跃升，为大规模用户迁徙扫清了最后障碍。用户可通过Google、Apple等账号一键生成zkLogin钱包，私钥本地生成并通过零知识证明上链验证，保障：

• 完整隐私保护

• 无助记词易用体验

• 多设备支持

该机制在保障私钥本地生成、第三方平台无法获取的同时，将Web2用户的入门门槛降至「点击登录」的极简操作。其将极大推动 Web2 用户无门槛进入 BenPay 生态，支撑大规模用户增长。

8.商户支付：链上支付系统连接 Web3 与实体经济

BenPay 商户系统支持两种主要收款方式：

• Crypto-Crypto：用户用数币直接付款

• Fiat-Crypto：法币转换支付模式（接入合规支付通道）

所有交易记录链上透明记录，可用于审计与溯源，特别适用于中小型商户、数字创作者、跨境服务平台等群体。

三、应用场景革新：从技术产品到价值网络的落地实践

BenPay的创新，还在于通过两大核心场景解决传统模式无法攻克的痛点，重新定义链上金融的可能性：

1.跨境支付：开启高效率，低成本时代

在传统跨境支付中，企业需通过SWIFT系统进行美元中转，耗时2–3天，手续费高达1–3%。BenPay 的多币种稳定币体系（如BUSD、BINR）彻底改写了这一现状：香港企业可通过BINR向印度供应商付款，省去美元中转环节，交易确认时间压缩至1秒，成本降低99%。

这种「去中介化」的支付模式，不仅让中小微企业获得了与大企业同等的跨境结算能力，更让全球贸易真正进入「实时到账」的新时代。当资金流转不再受限于地域与机构，经济全球化便有了更高效的基础设施。

2.稳定币生态：从「中心化托管」到「去中心化稳定」的范式升级

在稳定币领域，USDT 等传统项目依赖中心化托管，存在透明度不足、储备风险等问题。BenPay 的 BUSD 则采用「50%BFC永久锁定+动态流动性调节」的去中心化模式，通过弹性供应算法与BenPay DEX的协同，实现1:1美元锚定的超稳定性，价格波动控制在一定范围内，远超行业平均水平。

这种「去中心化发行+智能算法调节」的模式，不仅为DeFi、链上金融提供了可靠的价值存储媒介，更重新定义了稳定币的信任基础 — — 信任不再源于机构背书，而源于技术构建的透明机制与经济模型。

四、生态战略定位：BenPay 不仅是产品，更是链上金融基础设施层

BenPay 不止于单一支付工具，而是一个完整的链上稳定币金融操作系统，构建多场景的资产流通通道。其系统级定位体现在：

• 以稳定币为底层价值锚定物

• 实现交易、支付、借贷、社交、跨链全面连接

• 构建资产、身份、行为在链上的统一协作模型

• 通过 BUSD 作为生态稳定器，推进全链经济模型闭环

配合 BenFen 公链技术、zkLogin 登录、生态代币BFC等，BenPay 正在构建一个真正面向全球用户的 Web3 金融基建平台。

结语：重新定义链上价值流动的未来

稳定币的未来不仅关乎资产安全，更关乎价值如何流动。BenPay 通过技术集成、产品组合和生态协作，推动稳定币从“链上储值”向“链上支付”全面升级。

随着 BenPay生态 不断拓展，它正成为链上金融的新支点 — — 一个让资产可支付、可借贷、可社交、可跨链流动的多币种稳定币金融操作系统。

BenPay — 多币种稳定币链上金融平台，连接全球价值流动。

了解更多：https://benpay.org

立即体验Web3支付新时代。