Recap Video
The AI Security in Web3 panel, moderated by Landon Campbell, featured key industry leaders: Matthew Lewis, Taher Elgamal, and Michael Nouguier. They explored how AI and blockchain technologies can address current and future security challenges, focusing on their potential to transform industries securely and ethically.
The Role of AI in Smart Contract Security
Matthew introduced the innovative use of reinforcement learning in AI to enhance smart contract security. By training AI agents to simulate complex attacks, TestMachine identifies vulnerabilities before deployment, significantly reducing risk in decentralized finance (DeFi). His approach highlighted AI's potential in automating traditionally human-driven processes, such as auditing and vulnerability detection in smart contracts. This shift enables faster, more comprehensive security assessments, creating a safeguard for developers and users in the growing DeFi ecosystem.
AI and Third-Party Risks
Michael emphasized the importance of addressing third-party risks in AI, especially for companies like Richey May that leverage AI developed by external providers. He discussed the increasing regulatory landscape, including state-level policies like Utah’s Artificial Intelligence Policy Act, and the need for organizations to maintain robust oversight over AI systems. He also highlighted that risk mitigation in AI requires not only monitoring external vendors but also aligning with emerging regulations and ethical standards to protect data and maintain trust.
Investment in AI and Cybersecurity
Taher shared his investment perspective, underscoring that the rapid pace of AI advancements requires dynamic solutions in security. He reflected on the continuous "cat-and-mouse" nature of cybersecurity, where protecting against unknown threats is critical. He also highlighted the potential of quantum computing to disrupt existing cryptography, a challenge the industry is already preparing to face with new standards. Taher’s insight pointed to the necessity of innovation in cybersecurity as AI and quantum technologies evolve.
The panel concluded with a shared vision that AI will be deeply integrated into everyday life, influencing everything from personal devices to enterprise operations. The need for innovation, particularly in AI security, was a key takeaway, as panelists agreed that protecting the next generation of digital infrastructure requires both technological advances and regulatory foresight. The conversation left attendees optimistic about the future of AI in Web3 while emphasizing the ongoing work needed to secure this exciting frontier.
