How Cerbos Controls AI Agent Access

Cerbos controls AI agent access by letting you define an agent's boundaries and MCP scope before it goes live, then enforcing those boundaries at runtime through centralized policy. If an agent goes out of scope, you revoke its access in seconds by changing policy rather than rotating credentials or restarting systems. This applies to teams running AI agents or MCP clients that act on behalf of users and need a runtime authorization layer on top of their existing identity provider.

The problem Cerbos is aimed at

Cerbos frames authorization as the gap that authentication and role provisioning leave open. Your identity provider (IdP) authenticates an identity; your identity governance (IGA) tool provisions roles. Neither controls what an identity actually does at the resource level, at runtime. For AI agents, four specific failure modes make that gap worse:

• Over-permissioned access — agents and services can do more than they should, so one mistake can expose sensitive data or trigger unauthorized actions.
• Blurred identity lines — agents act on behalf of users through MCP clients and other interfaces, masking who initiated the action. When the system can't tell them apart, agents inherit permissions they should never have.
• Standing access that never expires — long-lived tokens and shared credentials stay valid long after they are needed, increasing the chance of compromise.
• No fine-grained kill switch — if an agent goes beyond its scope, access continues until someone rotates credentials or restarts systems. There is no way to revoke a single action in seconds.

How the control actually works

Define boundaries before the agent goes live

You define what each AI agent can access before it is deployed, including AI agent and MCP boundaries. Policies are defined, approved, and updated centrally, replacing scattered authorization logic with a single function call. This is the point where you decide scope rather than discovering it after the fact.

Enforce contextual authorization at runtime

Cerbos enforces fine-grained, contextual, and continuous authorization across applications, gateways, workloads, and AI agents. Because policy is evaluated per decision, the agent's access is checked against current policy each time — not granted once and trusted indefinitely.

Revoke through policy, in seconds

If an agent goes beyond its scope, you revoke access in seconds through policy. You do not need to rotate credentials or restart systems to cut off a single action. This is the kill-switch capability the product positions against standing access.

See and govern every decision

Every decision produces a log: who, what, when, and which policy. That gives you full visibility into what every identity can access and what every agent can access, and it supports audit readiness for frameworks including SOC 2, ISO 27001, HIPAA, GDPR, NIS2, DORA, and FedRAMP.

Where it sits in your stack

Cerbos is not a replacement for your IdP or your IGA tool. The division of labor is:

It manages access across users, service accounts, non-human identities (NHIs), and AI agents in one place, with centralized policies for the whole identity fabric. Supported models include RBAC, ABAC, ReBAC, and PBAC out of the box, and roles and permissions can be deployed without code changes.

Operational characteristics to weigh

• Scale: handles millions of authorization decisions per second across distributed systems and AI agents.
• Stateless: designed to be stateless, which matters for distributed enforcement points.
• Deployment: cloud, on-prem, or air-gapped.
• Time to ship: the product claims authorization can ship in one sprint, since policy changes don't require code changes.

When this fits and when it doesn't

Cerbos is a reasonable fit if you already have authentication and role provisioning in place but lack runtime, resource-level control — especially if you are deploying AI agents or MCP clients that act on behalf of users and you need a fast way to revoke a single agent's access. It is less relevant if you have not yet solved authentication or role provisioning, since Cerbos explicitly positions itself as closing the gap in an existing IAM stack rather than replacing it.

For current pricing and plan details, check the pricing page at https://www.cerbos.dev/pricing, since the available material does not specify cost or access terms.