TL;DR: Unosecur finds that AI agent credentials are often created faster than teams can track, store, rotate, or revoke them, leaving hundreds of API keys and tokens without clear ownership. The lifecycle assumption that access lasts long enough for periodic review collapses when agents operate at machine speed.
At a glance
What this is: This is a walkthrough of AI agent credential lifecycle management, arguing that issuance, storage, rotation, and revocation must be treated as one continuous governance process rather than separate tasks.
Why it matters: It matters because identity teams need controls that keep pace with agent creation, short-lived access, and downstream revocation across NHI and agentic AI programmes.
👉 Read Unosecur's analysis of AI agent credential lifecycle governance
Context
AI agent credential lifecycle management is the discipline of controlling issuance, storage, rotation, and revocation across the full life of an agent credential. The governance gap appears when teams apply human-paced review cycles to machine-paced identities that can be created, used, and retired far faster than a quarterly process can see.
The article frames the problem as one of continuity, not isolated hygiene. A credential that is issued well can still be lost in storage, rotated too late, or revoked incompletely if downstream sessions and secondary tokens are not part of the same lifecycle record.
Key questions
Q: What breaks when AI access is managed on the same cadence as human access reviews?
A: Periodic access reviews miss the short-lived but high-impact privilege growth that can happen between reviews. AI systems can acquire broad permissions to train, retrieve, and execute tasks before security teams reconcile ownership or scope. That creates a blind spot where review occurs after exposure has already expanded across multiple systems.
Q: When do short-lived credentials become insufficient for AI agent risk?
A: Short-lived credentials become insufficient when an organisation cannot see, scope, and revoke every grant the agent touches. If the agent can chain actions across systems, a brief credential lifetime does not prevent harmful execution. The control objective is not just expiry. It is provable containment and fast shutdown.
Q: What are the signs that AI agent credential governance is breaking down?
A: Common warning signs include credentials scattered across unrelated vault items, weak naming that makes agent access hard to search, and no clear separation between human and agent workflows. Another signal is difficulty reissuing updated credentials after rotation, which usually means the organisation cannot quickly see where the agent’s access is retained.
Q: Who should own governance for AI agent credential custody?
A: Ownership should sit with IAM, PAM, and platform security together, because the issue spans identity lifecycle, privileged credential handling, and workload execution. Teams should govern where the token lives, how it is bound to the process, and whether the runtime can replay it outside the intended request path.
Technical breakdown
Why AI agent credentials outgrow human lifecycle assumptions
Human lifecycle governance assumes a stable identity, predictable tenure, and a visible offboarding moment. AI agents break all three assumptions because they can exist briefly, recur often, and generate credentials on demand across multiple teams. That means the real unit of control is not the human owner or the platform team, but the agent identity and its credential graph. When lifecycle tooling cannot tell you what an agent currently holds and where it lives, the problem is not just inventory. It is that the governance model was built for people who can be reviewed later, not for identities that may disappear before the next review cycle.
Practical implication: design lifecycle controls around agent identity records, not human review cadences.
Issuance, storage, rotation, and revocation as one control path
The article's core mechanism is that each lifecycle stage depends on the one before it. Issuance should define scope and expiry, storage should keep credentials out of code and deployment artifacts, rotation should be automatic or event-triggered, and revocation must close cached sessions and downstream tokens, not only the source credential. Treating these as separate workflows creates blind spots between systems and teams. In NHI terms, the failure is not one bad control but fragmented control ownership across the credential's life. The practical model is a single governed record that follows the credential from birth to confirmed retirement.
Practical implication: map the full credential path and close the gaps between issuing, storing, rotating, and revoking.
Why ad hoc rotation fails at agent scale
Scheduled rotation is a human control pattern. It assumes a manageable number of long-lived credentials and a team that can remember to act when the calendar says so. At agent scale, that assumption breaks because credentials may be numerous, short-lived, and tied to changing workflows. The article argues for short-lived credentials by default and event-driven rotation when persistence is unavoidable. That shifts rotation from a maintenance task to a property of the credential design itself. In practice, the control is less about remembering to rotate and more about removing the need for manual rotation in the first place.
Practical implication: prefer expiry-driven credentials and rotate only when persistence creates a real governance need.
Breaches seen in the wild
- OneLogin API flaw (CVE-2025-59363): A OneLogin API flaw exposed OIDC client secrets to anyone with an API key, including vendors (CVE-2025-59363); fixed with no customer impact.
- iOS apps leaking hard-coded secrets: Cybernews found 71% of 156,080 iOS apps leak hard-coded secrets, with open cloud storage and Firebase databases exposing user data.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 150+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Continuous credential governance is the correct control model for AI agents. The article shows that issuance, storage, rotation, and revocation cannot be treated as isolated tasks when the identity is an agent. A lifecycle that depends on separate team handoffs will always lose visibility between systems, because the credential can outpace the process that is meant to govern it. The implication is that AI agent credential governance must be designed as one recordable lifecycle, not four disconnected checklists.
Ad hoc rotation is a human assumption, not an agent control. Quarterly or calendar-based rotation assumes credentials live long enough to be reviewed and reset later. AI agents can generate, use, and retire credentials inside much shorter operational windows, so the review window itself becomes the failure point. Practitioner teams should recognise that the issue is not a lack of reminders but a mismatch between machine-speed issuance and human-speed governance.
Credential lifecycle for agents is really an identity graph problem. The article repeatedly shows that revocation only works if downstream sessions, secondary tokens, and tool connections are also understood. That makes the lifecycle boundary broader than the issuing system and broader than the vault. Teams that cannot correlate agent identity to all of its credential touchpoints do not have lifecycle control, they have isolated event logging.
Named concept: lifecycle drift in AI agent credentials. This is the gap that appears when a credential's issuance context, storage location, rotation state, and revocation status are maintained in different systems with no shared governance record. The result is not just exposure, but loss of accountability for what an agent still holds and what it can still reach. Practitioners should treat that drift as a governance defect in the identity programme, not as an operational inconvenience.
AI agent governance now depends on shorter control loops, not broader policy documents. The article points to a structural shift in identity operations: the faster the agent can create and abandon credentials, the less useful a static policy becomes. This does not reduce the need for governance, it raises the value of runtime inventory, expiry-based design, and explicit retirement confirmation. The programme question is whether controls are measured in policy text or in actual credential state.
From our research library:
- Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them, according to the Ultimate Guide to NHIs.
- 91.6% of secrets remain valid five days after the targeted organisation is notified, showing a critical gap in remediation procedures, according to the Ultimate Guide to NHIs.
- Read next: Guide to NHI Rotation Challenges
What this signals
Lifecycle drift is the control failure to watch. When issuance, storage, rotation, and revocation live in different tools, the programme can look mature while the credential state is still fragmented. For AI agents, that fragmentation matters more than policy volume because the identity may change faster than the ticketing or review process can register it.
Short-lived credentials should become the default governance pattern for agents. Long-lived access with later rotation is a human-era compromise that does not scale cleanly to machine-paced identities. The operational signal is simple: if a team still depends on remembering to rotate agent access later, the design is already compensating for a lifecycle that was not built correctly up front.
For practitioners
- Define every agent credential at issuance Tie each credential to one agent identity, a specific scope, and an expiry so access does not outlive the task that required it.
- Move credentials out of code and images Store all agent credentials in a governed secrets store or vault and require runtime retrieval instead of embedding secrets in repositories, workflow files, or container artefacts.
- Replace scheduled rotation with expiry or events Use short-lived credentials by default and trigger rotation on role changes, suspicious access, or deprecated tools rather than waiting for a calendar cycle.
- Verify downstream revocation before closure Confirm that cached sessions, secondary tokens, and any access derived from the original credential are gone before marking the agent retired.
- Build one lifecycle record across teams Align security and engineering so issuance, storage, rotation, and revocation are tracked in one identity graph instead of separate tickets and tool records.
Key takeaways
- AI agent credential governance fails when issuance, storage, rotation, and revocation are treated as separate workflows instead of one lifecycle.
- The main evidence in the article is that agents can generate credentials faster than teams can track them, which creates ownership and revocation blind spots.
- The practical response is to scope credentials narrowly, shorten their lifetime, and verify downstream revocation before retiring the agent.
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 addresses the attack and risk surface, while NIST SP 800-53 Rev 5 and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-07 — Long-Lived Secrets | The article centers on credentials that persist too long for agent-scale governance. |
| NHI-01 — Improper Offboarding | Revocation and retirement are the final failure point if agent credentials are not fully retired. | |
| NHI-04 — Insecure Authentication | Agent credentials must be bound to specific identities and scopes rather than loose shared access. | |
| Recommendation — Prefer short-lived credentials and eliminate persistence that depends on manual rotation. Verify complete credential retirement before marking an agent offboarded. Bind each agent credential to a defined identity and scope at issuance. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | The article is about lifecycle governance of authenticators and their rotation and revocation. |
| Recommendation — Apply authenticator management to enforce expiry, rotation, and revocation for agent credentials. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article focuses on governing entitlements across the full AI agent credential lifecycle. |
| Recommendation — Review and constrain agent entitlements so access cannot outlive the task or workflow. | ||
Key terms
- Agent Credential: A credential used by an AI agent to authenticate to tools, data sources, or downstream services. In practice, it should be scoped to a single task or session and never carry more authority than the agent actually needs to complete the approved action.
- Short-Lived Attested Credential: A short-lived attested credential is a token or certificate issued for a specific run or workload after the platform verifies who or what is asking. It reduces replay risk because the credential is only useful within a narrow window and is tied to claims that can be checked at runtime.
- Downstream Revocation: The process of removing or invalidating credentials in the systems that actually honor them, not just in the source identity platform. In distributed SaaS environments, this includes token invalidation, session termination, and grant removal across connected applications.
- Lifecycle Drift: Lifecycle drift is the gap between the intended state of an identity and the access that remains active in systems after the business context changes. It often appears as delayed revocation, stale privileges, or unowned credentials, and it is a practical indicator that governance is out of sync.
What's in the full article
Unosecur's full article covers the operational detail this post intentionally leaves for the source:
- A stage-by-stage walkthrough of issuance, storage, rotation, and revocation for AI agent credentials
- Guidance on when short-lived credentials should replace scheduled rotation in agent environments
- Examples of storage failures such as hardcoded values, plaintext workflow secrets, and embedded deployment artefacts
- Practical considerations for revocation, including cached sessions and downstream tokens that still remain active
Deepen your knowledge
NHI governance, agentic AI identity, and machine identity security are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building or maturing an IAM programme, it is worth exploring.
Published by the NHIMG editorial team on September 30, 2026.
Updated on October 8, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org