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Enterprise AI Agent Governance & Security Plane

The reference architecture for agentic deployment, as one interactive map. An action flows User → Identity → Policy Decision → Enforcement → Resources; ambiguous actions branch to quarantine and loop back; cross-cutting layers wrap the plane. Click any node to see what it covers and rate your own maturity — or flip on rogue-agent containment to see which controls stop a real incident.

Mini Map
Maturity (0/10)
—/100
Click a node, rate it. The diagram becomes your maturity map.
Protected resources never see an agent directly. Databases, payment APIs and internal tools sit behind the Policy Enforcement Points — every action passes through policy enforcement before it touches a real system. That single rule is what the rest of this architecture exists to make true. Drag nodes to rearrange, scroll to zoom, export the map as a PNG.

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Frequently asked questions

What is the Enterprise AI Agent Governance & Security Plane?

A reference architecture for deploying AI agents safely at scale, built around three problems: identity (zero standing privilege — agents hold no long-lived credentials), security (runtime guardrails that enforce every action plus a quarantine path for ambiguous ones), and observability (trace-first debugging, so every action is auditable end to end).

Do I need a paid plan?

It is a Pro tool included with any PlayCISO paid plan. It runs client-side in your browser — nothing you enter is sent anywhere, and your self-assessment scores exist only in that browser tab unless you export them.

What does "zero standing privilege" mean for an AI agent?

It means an agent never holds a long-lived credential at all. It requests a scoped, task-specific, short-lived token from a credential vault when it needs to act, and that token expires automatically — so a compromised or misbehaving agent has nothing standing to abuse.

What is a Policy Enforcement Point (PEP) in this architecture?

The gatekeeper layer that sits between an agent and any real resource. It validates the token, enforces whatever the Policy Decision Point decided, sanitizes sensitive data in the request, and either allows the action (with constraints), denies it with a reason, or routes it to human review — no action reaches a protected resource without passing through one.

Why does quarantine matter as its own component, not just a deny?

A flat allow/deny loses the ambiguous middle case — actions that are not clearly safe but not clearly malicious either. Quarantine stores those, notifies the security team, and lets a human re-enter the action into the policy flow if it turns out to be legitimate, instead of forcing every uncertain case into either a false block or a false allow.

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