Yes. AI agents should be governed as non-human identities because they authenticate, call APIs, access data, and act on behalf of users or services. IAM should issue and revoke their identities, IGA should review ownership, purpose, and entitlements, and PAM should control privileged access, rotation, and session boundaries. Add policy for allowed tools, data scope, human approval for sensitive actions, and continuous monitoring for drift or misuse.
Why AI agents fit the same governance model as other non-human identities
AI agents belong in the same governance bucket as service accounts, application identities, and other non-human identities because they are not just “software with intelligence”; they are actors with authenticators, scoped access, and delegated authority. The practical question is not whether the agent is human or machine, but whether it can authenticate, reach systems, and create security impact independently.
That is why identity teams should treat the agent itself as a managed principal, not merely as a feature inside an application. When an agent can request tokens, invoke APIs, read data, or trigger workflows, its identity becomes part of the trust boundary. Agentic AI Identity Guide is useful here because it frames registration, delegation, authentication, and retirement as lifecycle issues rather than one-time setup tasks.
This also explains why the answer changes for AI agents more than for generic automation. An agent may operate on behalf of a user, switch contexts, chain tools, and make runtime decisions, so ownership and entitlement review matter even when no human is sitting in the loop for every action. The control problem is closer to identity governance than to simple application configuration.
What IAM, IGA and PAM each need to control
IAM owns the core identity lifecycle: create the agent identity, bind it to an owner and purpose, issue authenticators, and revoke access when the agent is retired or repurposed. If the agent authenticates as a principal, it needs the same inventory discipline and credential hygiene expected of any other non-human identity. AI Agent Authorisation Guide is especially relevant because it turns least privilege into a per-action decision instead of a broad standing grant.
IGA adds governance discipline around why the agent exists and whether its entitlements still make sense. Reviewers should be able to answer who owns the agent, what business function it serves, which systems it can touch, and whether those permissions still match the approved use case. Human vs Non-Human Identity helps when organisations need to distinguish human approval paths from machine ownership, consent, and delegated access patterns.
PAM becomes essential as soon as an agent can do privileged work, especially if it can reach admin consoles, production data, infrastructure changes, or sensitive workflow triggers. PAM should constrain session scope, rotate secrets or tokens where applicable, and separate high-risk actions from routine tool use. Service Account Security Guide is a strong analogue because the operational failure modes are similar: excessive privilege, reused secrets, and weak offboarding.
How to set guardrails for tools, data, and sensitive actions
AI agents should not receive open-ended access just because they are useful. Tool permissions need to be explicit, data access should be narrowed to the minimum scope needed for the task, and sensitive actions should require an approval step or a stronger policy decision than ordinary read-only work. The right model is task-scoped authority, not permanent broad trust.
Policy should also account for where the agent is allowed to operate and what it may do with retrieved information. That includes environment boundaries, allowed API surfaces, data classification limits, and rules for when human review is mandatory. Zero Trust for AI Agents supports that approach by treating every request as something to verify, not something to inherit from the agent’s general reputation.
Monitoring matters because AI agents can drift. A safe agent can become unsafe through prompt changes, broader tool access, reused credentials, or new workflows that bypass the original approval model. Top 10 Agentic AI Identity Issues is a practical reminder that identity sprawl, overprivilege, and human use of agent credentials are governance failures, not edge cases.
Risk and Threat Considerations
AI agents expand the attack surface because they can hold credentials, reach APIs, and execute actions faster than a human reviewer can intervene. If an attacker steals the agent’s secret, hijacks its session, or manipulates its instructions, the result is not just data exposure, but potentially autonomous misuse at machine speed.
Failure mechanism: The most common failure is overtrusting the agent’s apparent purpose while failing to constrain its actual authority. That creates opportunities for secret theft, privilege escalation, tool abuse, and delegated access abuse, especially when the same identity is reused across environments or workloads.
Impact: Compromise can cascade into unauthorized data access, unauthorized changes, lateral movement through connected systems, and harder-to-detect abuse because the activity looks like normal authenticated machine traffic.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 and OWASP Agentic AI Top 10 define the specific risk controls and attack patterns relevant to this topic.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-04 — Insecure Authentication | AI agents authenticate and can be hijacked through weak identity controls. |
| NHI-05 — Overprivileged NHI | The question centers on constraining agent access and privilege like other NHIs. | |
| NHI-07 — Long-Lived Secrets | Agent credentials and tokens need rotation and bounded lifetime. | |
| Recommendation — Use strong authentication and token hygiene for every agent identity. Apply least privilege and review agent entitlements regularly. Rotate agent secrets and remove long-lived credentials where possible. | ||
| OWASP Agentic AI Top 10 | ASI03 — Identity & Privilege Abuse | AI agents can be abused through excessive authority and delegated access. |
| ASI02 — Tool Misuse | Agents use tools and APIs, so tool scope and policy are central. | |
| Recommendation — Limit agent authority and require per-action approval for sensitive tasks. Constrain tool access to approved actions and monitor anomalous tool use. | ||
Practitioner Guidance
What to prioritise: Start by inventorying every agent that can authenticate or act on behalf of a user or service, then classify which ones have production reach, privileged tools, or sensitive data access. Those are the identities that need ownership, review cadence, and stronger session controls first.
What to verify: Confirm that each agent has a named owner, a documented purpose, a distinct identity, and a revocation path that actually works when the agent is retired or repurposed. If you cannot answer those questions quickly, the control model is too weak for production use.
Decision rule: If the agent can change state, access regulated data, or trigger privileged actions, treat it like a high-risk non-human identity and require stronger approval, tighter scope, and closer monitoring than ordinary automation. Ultimate Guide to NHIs is the right broader reference when teams need to align this practice with the rest of their NHI programme.
Practitioner takeaway: The key shift is to govern the agent by authority, not by form factor, because the security consequences come from what it can access and do, not whether it is “AI” or “automation.”
Related resources from NHI Mgmt Group
- Should teams treat AI API keys like other non-human identities?
- Why do AI agents increase non-human identity risk in existing IAM programmes?
- How should security teams govern AI agents and non-human identities in IGA?
- How should security teams govern access when bots and AI agents act like non-human identities?