Per-agent identities are easier to contain and attribute, while shared credentials are easier to operationalise but much harder to revoke without collateral damage. For autonomous workflows, per-agent scoped credentials are the safer default because they let containment target the compromised chain precisely.
Why Per-Agent Identity Is the Safer Default for Autonomous AI
Shared credentials make life easier when teams want a quick path to production, but they collapse attribution and widen blast radius. Per-agent identities create a cleaner security boundary, so a compromise, misuse, or policy exception can be traced and contained to one autonomous workflow instead of spreading across every system that reuses the same secret.
That distinction matters most when the agent can act without a human in the loop. Once multiple workflows reuse the same secret, revocation becomes a blunt instrument, because you cannot easily know which action belongs to which agent, nor can you disable one path without potentially breaking them all.
Per-agent design also changes how you think about lifecycle. An AI system that behaves like a distinct actor should be registered, scoped, monitored, and retired as one, rather than hiding behind a shared token that outlives the workflow it was meant to support.
Where Shared Credentials Break Down in Practice
Shared credentials are operationally convenient, but they turn the hardest part of incident response into a guessing game. If one token is embedded in multiple agents, you lose precise containment, and a routine rotation can become an outage because every dependent workflow must be updated at once.
They also weaken governance. Human vs Non-Human Identity is useful here because it frames the ownership problem clearly: when one credential represents many actors, accountability becomes ambiguous and policy exceptions tend to accumulate. Guide to the Secret Sprawl Challenge shows why embedded credentials often become a durability problem as much as a security one.
For AI systems specifically, shared secrets also encourage human reuse of machine access, which is where governance often fails first. If an agent starts borrowing a team secret, you have already lost the boundary between operator, automation, and target system.
What Good Looks Like for AI Identity Design
Good design starts by giving each agent the smallest credential set that matches its task, environment, and duration. Agentic AI Identity Guide is the right navigation point for identity models, delegation, registration, and retirement, while AI Agent Authorisation Guide helps translate that identity into per-action access decisions and least-privilege scope.
For secrets handling, pair identity with short-lived or dynamically issued credentials rather than long-lived shared material. Secrets Management Guide supports the move away from static secrets toward secretless or tightly bounded patterns, and Guide to NHI Rotation Challenges is especially relevant when teams need to make rotation operationally realistic instead of aspirational.
At the protocol level, the cleanest pattern is to avoid a shared bearer secret when the platform supports stronger client authentication or token exchange. That is not about adding ceremony for its own sake, it is about giving each agent an identity that can be revoked, traced, and constrained on its own terms.
Risk and Threat Considerations
Shared credentials increase the chance that one compromised agent, integration, or operator shortcut creates broad unauthorized access. They also make lateral movement easier, because an attacker who captures one secret may inherit access to every workflow that trusts it.
Failure mechanism: A common token is reused across multiple agents, so revocation, attribution, and blast-radius containment all fail together. When one workflow is abused, defenders cannot isolate it cleanly without disrupting unrelated automation.
Impact: The organisation faces slower incident response, weaker auditability, and higher likelihood of repeated misuse. In the worst case, a single secret compromise becomes multi-system compromise because the same credential silently authenticates many actions.
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 address the attack and risk surface, while NIST SP 800-53 Rev 5 and CIS Controls v8 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 | Shared AI credentials create long-lived secret risk and slow revocation. |
| NHI-05 — Overprivileged NHI | Per-agent scoping is about avoiding excess privilege in autonomous workflows. | |
| NHI-02 — Secret Leakage | Shared credentials magnify the impact of any leaked agent secret. | |
| Recommendation — Prefer short-lived credentials and revoke shared secrets promptly. Scope each agent to the minimum access needed for its task. Centralise secret handling and rotate exposed credentials immediately. | ||
| OWASP Agentic AI Top 10 | ASI03 — Identity & Privilege Abuse | The question is about whether agent identity should be distinct or shared. |
| ASI10 — Rogue Agents | Revocation and attribution matter when an agent misbehaves or is abused. | |
| Recommendation — Assign unique agent identities and enforce task-scoped privileges. Make each agent independently disableable and auditable. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | Shared vs per-agent credentials is fundamentally credential lifecycle design. |
| IA-9 — Service Identification and Authentication | AI agents authenticating to systems fit service-to-service authentication control. | |
| AC-6 — Least Privilege | Per-agent identities are safer when they reduce unnecessary access scope. | |
| Recommendation — Manage, rotate, and revoke each authenticator on its own lifecycle. Authenticate each agent as a distinct service identity. Constrain each agent to the minimum privileges its workflow requires. | ||
| CIS Controls v8 | CIS-5 — Account Management | Agent identities need distinct account lifecycle and revocation handling. |
| CIS-6 — Access Control Management | The answer turns on whether access can be scoped and revoked precisely. | |
| Recommendation — Create, review, and remove agent accounts individually. Limit access by unique identity rather than reused shared secrets. | ||
Practitioner Guidance
What to prioritise: Give every autonomous workflow its own identity and its own revocation path before you scale the number of agents. If you cannot disable one agent without affecting others, the credential model is already too shared.
What to verify: Confirm that the agent credential is scoped to one workflow, one environment, and one purpose, and that logs can attribute actions to that exact identity. If attribution still depends on shared metadata or team ownership alone, you do not yet have per-agent control.
Common mistake: Teams often treat shared credentials as a temporary shortcut and then leave them in place after the workflow becomes business-critical. The point of per-agent identities is not perfection, it is making containment and retirement possible when the workflow inevitably changes.
Practitioner takeaway: Use shared credentials only when the blast radius is genuinely acceptable and short-lived; for anything autonomous or privileged, per-agent identity is the safer operational default because it preserves containment, accountability, and revocation.
Related resources from NHI Mgmt Group
- How should security teams govern machine identity credentials in agentic AI environments?
- How should security teams govern AI agents that use OAuth access?
- How should security teams limit the risk from AI agents that have access to production systems?
- How should security teams use AI in secret scanning without creating new blind spots?