Topic starter
22/02/2026 9:31 pm
TL;DR: AI agents now access ERP, support systems, and production workflows with broader reach than many human users, and unmanaged agent identities create exposure, unauthorized change, and audit findings, according to SafePaaS. The governance gap is not AI itself but long-lived, unowned access that IGA was not designed to track at agent speed.
Editorial analysis by NHI Mgmt Group, based on content published by SafePaaS: “Why Identity Governance for AI Agents Is Your Next Big Security Priority”.
Key questions
Q: What breaks when AI agents are treated like standard human users?
A: You lose visibility into effective permissions, expected behaviour, and real blast radius.
Q: Why do AI agents create audit and accountability risk in IGA programmes?
A: Because their access can change faster than manual review cycles and their actions may span multiple systems in one session.
Q: What are the signs that an AI agent may be running out of control?
A: Look for unusual consumption patterns rather than a single spike.
Practitioner guidance
- Define AI agents as governed identity objects Assign each agent a unique identity, business owner, purpose, and risk classification so it enters the IGA lifecycle like any other high-risk identity.
- Add agent identities to access certification Include AI agents in periodic reviews with the same approval and evidence expectations used for other privileged identities, especially when they touch production or sensitive data.
- Scope agent access by task and context Use roles and attributes to limit which systems, data sets, and environments an agent can reach, and avoid broad standing access that outlives the task.
Bottom line: AI agents create a governance problem when they are allowed to act as first-class operators without first-class identity controls.
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This topic was modified 5 days ago by NHI Mgmt Group
06/10/2026 3:33 pm
AI agent identity governance is now an IGA discipline, not an AI side topic. The article is right to frame AI agents as first-class identities because the control question is no longer who can log in, but what autonomous software can do once it is in the environment. IGA programmes that still centre only on humans and a handful of service accounts are already misaligned with how enterprise automation is actually being deployed. The practitioner conclusion is simple: if the agent can act, it must be governed as an identity.
A few things that frame the scale:
- 70% of organisations grant AI systems more access than they would give a human employee performing the exact same job, according to the 2026 Infrastructure Identity Survey.
A question worth separating out:
Q: How should security teams offboard AI agents when projects end?
A: They should retire the identity, revoke keys and tokens, remove any control-plane registration, and verify that no downstream workflow still trusts the agent. Offboarding has to be a formal governance event, not an informal note in a project tracker, because lingering access is how ghost agents remain active.
👉 Read our full editorial: AI agent identity governance is now an IGA priority