Cover photo

INTRODUCING PREV

Innovating privacy-preserving solutions for authentic user verification. Protecting identities & preventing bots. Backed by PrevLabs Team.

WHAT IS PREVLABS?

Project Objectives

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.

Background and Motivation

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 users’ privacy and ensuring the authenticity of human interactions is essential for financial systems, e-commerce, digital governance, and social media platforms.

Significance

  • Scientific contribution: Insights into techniques for privacy-preserving human authentication.

  • Practical relevance: Framework applicable to banking, e-government, online services, and cybersecurity.


OUR TEAM

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

  • Software Engineer at Zoomex (2022-2023)

  • 2-year experience in Cybersecurity

  • Cybersecurity Engineer at Proton AG (2023)

  • Found & Develop PrevLabs (2023-now)

Sophia Lee

Head of Product

Markus Mike

Ecosystem

Partnerships

Eric Wang

Software

Engineer

  • Software Engineer Intern at Google (2021-2022)

  • Deep in LLM & AI (since 2023)

  • Early Contributor to PrevLabs (late 2023)