Answer box
Agentic AI governance is the discipline of governing autonomous AI agents — systems that plan, hold goals over time, call tools, persist memory, and act with human-equivalent or super-human throughput. The structural challenge: humans cannot review every agent action at the speed agents emit them. Governance happens at machine speed, by other systems (Guardian Agents), with humans reviewing escalations. The category is anchored by the OWASP Top 10 for Agentic Applications (Dec 2025), Gartner's Guardian Agents Market Guide (Feb 2026), and emerging standards (NIST AI Agent Standards Initiative, ISO 42001 agent provisions). This hub is the canonical entry point.
The frameworks
| Framework | What it covers |
|---|---|
| OWASP Top 10 for Agentic Applications 2026 | The ten most critical security risks for autonomous AI agents — ASI01 (Goal Hijack), ASI02 (Tool Misuse), ASI03 (Identity), ASI04 (Supply Chain), ASI05 (Code Execution), ASI06 (Memory Poisoning), ASI07 (Inter-Agent), ASI08 (Cascading Failures), ASI09 (Trust Exploitation), ASI10 (Rogue Agents). Annotated for enterprises here. |
| Gartner Guardian Agents (Feb 2026) | Product category for AI agents that govern other AI agents. Three capability areas: visibility/traceability, IAM for AI, cross-platform governance. Full explainer. |
| NIST AI RMF + AI Agent Standards Initiative | Lifecycle risk management; agent identity standards in flight. |
| ISO 42001 | AI management system; A.8.24 use of AI systems applies. |
| EU AI Act | Article 9 (risk management), 12 (record-keeping), 14 (human oversight) all apply to deployed AI agents — see Provider vs Deployer obligations. |
| Berkeley AILCCP | AI Lifecycle Compliance & Control Profile — emerging academic framing. |
| Singapore IMDA Agentic AI Framework (Jan 2026) | World's first agent-specific regulator framework. |
The three pillars of an agentic AI governance program
Pillar 1 — Identity and access for agents
Tier 3 agentic identity. Per-agent workload identity. Capability-scoped tokens per task. Signed delegation envelopes. Continuous evaluation per action. See NHI is Dead, Long Live Agentic Identity.
Pillar 2 — Runtime inspection and control
Inline inspection of every agent input (prompts, tool descriptions, tool responses, memory writes). Tool allowlisting. Tool-response inspection (the structural defense against tool poisoning and inter-agent prompt injection). A2A trust with signed envelopes. Kill switches with sub-second mean time to kill.
Pillar 3 — Audit, evidence, and incident response
Full provenance log per task — user, agent identities, model versions, tool calls, memory writes, policy decisions. Compliance evidence mapped to NIST / ISO / EU AI Act. Incident response runbook adapted for agents — see The 9-Second Database Delete.
All AccuroAI posts on agentic AI governance
Foundation
- Agentic AI Governance: Enterprise Risk and Control Frameworks — the introductory framing.
- How to Secure AI Agents in Production: A CISO Playbook — operational playbook.
The OWASP framework, annotated
- OWASP Top 10 for Agentic Applications 2026, Annotated for Enterprises — the canonical reading of ASI01-ASI10.
Risk-by-risk deep dives
- Tool Poisoning: The Supply Chain Attack Coming for Your AI Agents — ASI04 deep dive.
- A2A Trust: Why Inter-Agent Prompt Injection Will Be Your Next Incident — ASI07 deep dive.
Identity
- NHI Is Dead, Long Live Agentic Identity — Tier 3 agentic identity model.
MCP governance
- MCP Server Security: The Enterprise Inventory Playbook — the 10-step discovery playbook.
- The CISO's MCP Field Guide v2: From Inventory to Runtime Governance — the four-pillar operational program.
Incident response
- The 9-Second Database Delete: AI Agent Incident Response — kill switches, IR runbook, tabletop kit.
Vendor and category
- Guardian Agents Explained: The Gartner Category That Will Define Agentic Security Budgets — Gartner-named category.
- Microsoft Agent 365 + Anthropic Claude Managed Agents: A CISO Field Guide — governing the big two platforms.
What to do this quarter
- Inventory. Discover every agent identity in production. Use the MCP inventory playbook framework.
- Identity. Score against the Tier 3 model. Most enterprises have 1-2 of 6 components.
- OWASP. Score against the 10 risks. Most enterprises have meaningful coverage on 3-4.
- Kill switch tabletop. Run scenario 1 from the 9-second delete piece.
- Brief the AI risk committee. Most committees haven't seen the OWASP Agentic Top 10 mapped to their environment.
FAQ
What is agentic AI governance? The discipline of governing autonomous AI agents — systems that plan, persist memory, call tools, and act with throughput humans cannot review action-by-action.
How is this different from regular AI governance? Regular AI governance covers the lifecycle of AI systems (training, evaluation, deployment, monitoring). Agentic AI governance adds the runtime layer specific to autonomous agents — identity, inspection of every action, A2A trust, kill switches.
What is the OWASP Top 10 for Agentic Applications? A globally peer-reviewed framework published December 2025 cataloging the ten most critical security risks for autonomous AI agents. See our annotated guide.
What is a Guardian Agent? Gartner-defined category for AI agents that govern other AI agents. See our explainer.
How does this map to compliance frameworks? NIST AI RMF (especially MANAGE-2, MEASURE-2), ISO 42001 (A.8.24), EU AI Act (Articles 9, 12, 14) all have requirements satisfied by an agentic AI governance program. See the unified compliance crosswalk.
Sources: OWASP Top 10 for Agentic Applications 2026 · Gartner Guardian Agents Market Guide · Singapore IMDA Agentic AI Framework · Berkeley AILCCP.