Ken Huang Headshot

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

  • LLM Design Patterns - Packt, May 2025

  • Generative AI Security: Theories and Practices - Springer, 2024

  • The Handbook for Chief AI Officers: Leading the AI Revolution in Business - DistributedApps.ai, 2024

  • Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow - Springer, 2023