This project aims to:
Develop and analyze solutions to distinguish between bots and real humans.
Strengthen identity protection and safeguard personal information in online environments.
Provide an integrated framework combining technological tools and legal principles.
With the rapid growth of digital services, bots have become increasingly sophisticated. They can mimic human behavior, execute automated fraud, and scrape personal information. At the same time, individuals are exposed to growing privacy risks, including data leaks and identity theft.
Protecting usersβ privacy and ensuring the authenticity of human interactions is essential for financial systems, e-commerce, digital governance, and social media platforms.
Scientific contribution: Insights into techniques for privacy-preserving human authentication.
Practical relevance: Framework applicable to banking, e-government, online services, and cybersecurity.
Our Core Contributors up to now. In the near future, PrevLabs is planning to hire more people for the team to make the protocol more refined.
Khanh Tran | CEO & Founder | |
Sophia Lee | Head of Product |
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Markus Mike | Ecosystem Partnerships |
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Eric Wang | Software Engineer |
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