Ken Huang

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, Co-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:

- Securing AI Agents: Foundations, Frameworks, and Real-World Deployment , Springer, October, 2025
- Agentic AI: Theories and Practices; Springer, July 2025
- LLM Design Patterns; Packt, May 2025
- Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow; Springer, 2023
- Generative AI Security: Theories and Practices; Springer, 2024
- Practical Guide for AI Engineers (Volumes 1 and 2 by DistributedApps.ai, 2024)
- The Handbook for Chief AI Officers: Leading the AI Revolution in Business; DistributedApps.ai, 2024
- Web3: Blockchain, the New Economy, and the Self-Sovereign Internet; Cambridge University Press, 2024
- Web3 Applications Security and New Security Landscape: Theories and Practices; Springer, 2024
- Blockchain and Web3: Building the Cryptocurrency, Privacy, and Security Foundations of the Metaverse (Wiley, 2023)

A globally sought-after speaker, Ken has presented at events hosted by RSA, OWASP, ISC2, Davos WEF, ACM, IEEE, Consensus, the CSA AI Summit, the Depository Trust & Clearing Corporation, and the World Bank. He is also a member of the OpenAI Forum, contributing to global dialogue on secure and responsible AI development.

Explore Ken’s books on Amazon: [https://www.amazon.com/author/kenhuang](https://www.amazon.com/author/kenhuang)