
Ken Huang
Adjunct Professor
Biography
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.
Expertise
- Agentic AI
- AI security
- Generative AI
- LLM's
Education
- University of Lausanne, MBA in Finance, 1995
- Xian Jiatong University, MS in Computer Science, 1988
- Zhejiang Normal University, BS in Math, 1984
Prior Experience
- CEO, DistributedApps.ai (2018-Present)
- Co-Chair, AI Safety Working Groups at Cloud Security Alliance (2023-Present)
- Director of Consulting, CGI Federal (1997-2016)
Awards & Distinctions
- Cloud Security Alliance, Research Fellow, 2025
Selected Publications
-
Agentic AI: Theories and Practices – Springer, July 2025
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LLM Design Patterns - Packt, May 2025
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Generative AI Security: Theories and Practices - Springer, 2024
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The Handbook for Chief AI Officers: Leading the AI Revolution in Business - DistributedApps.ai, 2024
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Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow - Springer, 2023