Mapping the AI Agent Governance and Security Landscape
serendip-ml · reddit · 2026-08-11
A comprehensive map of the current AI agent governance landscape across four main categories:
- Runtime Governance: Bifurcated into agent-native tools and adapted authorization systems (e.g., Auth0, Permit).
- Observability & Rogue-Detection: Covering LLM tracing and infinite-loop detection (e.g., LangSmith, AgentOps), with OpenTelemetry becoming the standard.
- Verification & Guardrails: Pre-filters, output constraints, and microVM containment (e.g., NeMo Guardrails, Outlines).
- Regulatory Compliance: Shifting from voluntary to binding frameworks like EU AI Act and OWASP Top 10 for Agentic Applications.
OWASP's ASI01-ASI10 is highlighted as the industry-standard failure-mode taxonomy.
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