Agent Access Review

An agent access review is a scheduled check of what each AI agent's non-human identity can reach, who approved that access and whether the agent still needs it. Owners recertify or revoke permissions, and the result is recorded as evidence for auditors and examiners.

Why do AI agents need access reviews?

Agents are given access when they are built, and that access rarely shrinks on its own. A pilot that needed read access to one system can end up with write access to three. Because agents run at machine speed and across many cases, an unused permission is a larger exposure than the same permission held by a person. Reviews also catch agents that have no owner, were retired but still hold credentials, or drifted from their original purpose.

What does an agent access review cover?

A review answers four questions for each agent identity:

• Which systems, data sets and actions can this identity reach today?
• Who approved each permission, and when?
• Is each permission still needed for the agent's current job?
• Who is the accountable owner, and have they attested?

Reviewers compare entitlements exported from each connected system with the agent's documented scope. Anything broader than the scope is removed or formally justified.

How is it different from a human user access review?

The mechanics are similar, but the inputs differ. Agent identities are non-human identities that may not appear in the HR-driven joiner, mover and leaver process, so they need their own inventory and owner of record. The review should apply least-privilege agent identity as the standard and use the zero trust assumption that standing access is a risk to justify, not a default.

How often should agent access be reviewed?

No US regulator sets one interval for agents. A common approach is quarterly for agents that move money or handle customer data, annually for lower-risk agents, and an extra review whenever an agent's scope, tools or underlying model changes. Frequency should be written into your AI agent governance policy.

What evidence should an agent access review produce?

Keep the entitlement export, the reviewer's decision for each permission, signed owner attestations, tickets showing revoked access and the date each review closed. SOC 2 logical access criteria and internal audit tests look for exactly this trail. The full control set is in How to govern AI agents: 12 controls for regulated enterprises, and identity design is covered in AI agent identity management.

Frequently asked questions

What is an agent access review?

It is a periodic recertification of what each AI agent's non-human identity can access, who approved it and whether it is still needed. Unneeded access is revoked and the outcome is documented.

Who performs an agent access review?

The agent's business owner usually recertifies the permissions, with security or identity teams supplying entitlement data. The second line or internal audit samples the results.

What happens if an agent has no owner?

An agent without an accountable owner should be suspended or have its access removed until an owner is assigned. Ownerless agents are a common audit finding.

Does an access review replace monitoring?

No. Monitoring watches what an agent does continuously, while an access review checks what it is allowed to do on a schedule. Both are needed.