What happens when AI agents are allowed to create access for other agents?

Why letting agents create access changes the trust model

When one agent can create access for another, the security question stops being “who approved this task?” and becomes “who can extend authority, for how long, and with what evidence?” That is a material shift because access creation is no longer a one-time human decision. It becomes part of the runtime system, so the control plane must prove intent, scope, and expiry at every step.

This is why least privilege and per-action decisions matter for agent systems, not just login events. The access grant itself becomes a governed action, and the grantor agent must be treated as an authority-bearing actor rather than a simple automation step. NHIMG’s AI Agent Authorisation Guide is useful here because it centers task-scoped access, just-in-time approval, and delegated authority as the core design choices.

Once access can be delegated, the main risk is not only overpermission, but also hidden inheritance. A downstream agent may receive rights that are broader than the original human intended, especially if the first agent is allowed to bundle roles, tokens, or tool permissions into a new grant. That is why agent identity and delegation need to be visible in the approval path, not just in the final access outcome.

How authorization chains become hard to govern

Authorization chains are most fragile when each link is technically valid but operationally opaque. A human can approve the first agent, the first agent can authorize a second, and the second can act under a different context or audience. The result is a chain of authority that is legal by system rules but difficult for reviewers to reconstruct after the fact.

This becomes especially problematic when the chain crosses systems or protocols. If the access created by one agent is reused elsewhere, the organization may lose sight of the original purpose, the original owner, and the original expiry condition. NHIMG’s Agentic AI Identity Guide is relevant because it treats delegation, registration, authentication, and retirement as lifecycle problems, not just authentication events.

The practical consequence is that governance must be able to answer three questions at any point: who created the access, why was it created, and when should it stop. If any of those are missing, the chain may still function, but the organization cannot reliably attest to its authority. That is a governance failure even before any misuse occurs.

Why auditability and containment matter more once agents can mint access

The more agents can mint access, the more the environment depends on fast attribution and containment. If something goes wrong, responders need to know which agent created the grant, which agent consumed it, and whether the grant was copied, delegated again, or left active longer than intended. Without that trace, teams may have to reconstruct activity from scattered logs, which slows investigation and weakens confidence in the result.

This is where observability has to include the whole access chain, not just the final action. The most useful logs are the ones that preserve actor, delegation path, approval context, and revocation state together. NHIMG’s AI Agent Observability, Audit and Incident Response Guide is directly relevant because it focuses on attribution, audit trails, and kill-switch readiness for agent activity.

Containment also matters because access creation can become a multiplier for blast radius. If one compromised agent can create access for others, revocation has to stop the granting path as well as the granted path. Otherwise, the response may remove a visible actor while leaving the authority chain intact underneath it.

Risk and Threat Considerations

Allowing agents to create access for other agents introduces privilege accumulation, covert delegation, and longer compromise paths. A small initial trust decision can expand into broad authority if the system does not strictly bind each grant to purpose, scope, audience, and expiry.

Failure mechanism: A compromised or overbroad agent creates new access that inherits trust from an earlier approval, then passes that access onward before defenders notice. The chain can be abused for persistence, lateral movement, or quiet privilege expansion because each step looks locally valid.

Impact: Teams lose control over blast radius, and incident review becomes slower and less reliable because the governance trail is fragmented. Even after revocation, the organization may not immediately know which delegated accesses existed, who used them, or what they touched.

Practitioner Guidance

What to prioritise: Treat access creation as a privileged action, not a normal workflow. The most important control decision is whether the granting agent is allowed to create new authority at all, or only request it through a separate approval path.

What to verify: Check that every delegated grant is bounded by scope, audience, and expiry, and that the approval record and delegation record are linked. If you cannot reconstruct the chain from logs alone, the control is not mature enough for production use.

What good looks like: Each grant is attributable, short-lived, and explicitly tied to a human or policy decision. Revocation of the upstream agent should also invalidate the authority it created, not just the agent’s current session.

Practitioner takeaway: The design goal is not to eliminate delegation, but to ensure that every step of delegated authority remains observable, revocable, and narrow enough that its blast radius is still explainable after an incident.

Related resources from NHI Mgmt Group

• Who is accountable when AI agents and other non-human identities make access decisions that create risk?
• What happens when AI agents and automated workflows are allowed broad access without governance?
• What happens when autonomous AI agents are allowed to operate with standing access and weak credential controls?
• What happens when AI agents are allowed to trust other agents by default?