Ken Huang is a prolific author and renowned expert in AI and Web3, with numerous published books spanning business and technical guides as well as cutting-edge research. He is a Research Fellow and Co-Chair of the AI Safety Working Groups at the Cloud Security Alliance, Chair of the OWASP AIVSS project, and Co-Chair of the AI STR Working Group at the World Digital Technology Academy. He is also an Adjunct Professor at the University of San Francisco, where he teaches a graduate course on Generative AI for Data Security.
Huang serves as CEO and Chief AI Officer (CAIO) of DistributedApps.ai, a firm specializing in generative AI-related training and consulting. His technical leadership is further reflected in his role as a core contributor to OWASP's Top 10 Risks for LLM Applications and his participation in the NIST Generative AI Public Working Group.
Key Books:
This presentation will explore AI-driven deepfakes in fraudulent activities. We'll cover what deepfakes are, how they're used by malicious actors in scams like CFO fraud, and showcase a few typical attacks. We'll discuss methods for detecting these sophisticated fakes—both human observation and AI-powered "agent detection"—and provide actionable strategies to enhance employee resilience and protect your organization.