ZeroTrustAgent (Ken Huang)
Reference implementation of zero-trust architecture for AI agents.
What it does
A reference implementation of zero-trust architecture applied to AI agents, by Ken Huang — one of the foremost thought leaders in AI security and co-creator of the CSA MAESTRO framework. Demonstrates how to apply zero-trust principles (never trust, always verify) to autonomous AI agent systems.
Security relevance
Zero trust is the right security model for AI agents — every tool call, data access, and inter-agent communication should be verified independently. This project provides a practical bridge between the zero-trust concept and actual agent implementation, showing how to enforce least-privilege, continuous verification, and micro-segmentation in agent architectures.
When to use it
Study and reference when designing security architectures for AI agents. Requires understanding of both zero-trust principles and agent framework internals. Expert-level work but provides the most rigorous architectural pattern for securing autonomous agents.
OWASP coverage
Risks addressed — mapped to both OWASP Top 10 standards. 2 in LLM, 4 in Agentic.
The raw record
What Yuntona stores. Single source of truth — fork it on GitHub.
name: ZeroTrustAgent (Ken Huang) slug: zerotrustagent-ken-huang type: Mixed category: AI Guardrails & Firewalls url: https://github.com/kenhuangus/ZeroTrustAgent reviewed: 2026-04 added: 2026-04 updated: 2026-04 risks: llm: [LLM07, LLM08] asi: [ASI02, ASI03, ASI07, ASI10] complexity: Expert Required pricing: — audience: Builder lifecycle: [deploy] tags: [Agentic, Open Source, Reference, Zero Trust]