Ken Huang
Headshot
Bio
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)
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)
For those giving lightening talks, are you able to share your slides in a ‘Google Slides link’ to add to our Master Google Slides deck?
-Optional Questions if you’re representing a Standards Body -
1 Paragraph description of your protocol/standard?
The Agent Name Service (ANS) is a universal, secure directory and naming system for AI agents, similar to how the Domain Name System (DNS) works for websites. Developed as an initiative under the OWASP GenAI Security Project, it aims to provide a standardized way for AI agents to discover, verify, and securely interact with one another across different platforms.
Bio (Short)
Link for participants to learn more about the protocol/standard:
LinkedIn
https://www.linkedin.com/in/kenhuang8/
Organization
Distributedapps.ai
Protocol / Standard
Agent Name Service and NANDA
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