Agent delegation is the controlled handing off of a task, permission, or action from one AI agent or system to another. In identity security, it requires explicit authorization, scoped credentials, and auditability so the receiving agent can act only within approved limits, reducing misuse of secrets and unintended privilege expansion.
What Agent Delegation Means in AI Systems
Agent delegation is a control pattern, not just a convenience feature. It describes when one agent is allowed to act for another, so the design question is always how authority is transferred, bounded, and later revoked.
That makes delegation a security boundary. If the receiving agent can inherit broad permissions or reuse the wrong credentials, the handoff can become indistinguishable from direct compromise.
Why Delegation Needs Explicit Authority
Safe delegation depends on making the scope legible to both systems and operators. The receiving agent should know what it may do, for which task, and under what conditions that authority expires or is denied.
This is why delegation usually pairs with least privilege, task scoping, and clear approval boundaries. Without those constraints, a delegated action can expand beyond the original intent and create excess privilege or hidden side effects.
In practice, the most useful mental model is “permission to act on behalf of” rather than “permission to become.” That distinction matters because a delegated agent should carry only the minimum authority needed to complete the assigned work.
How Delegation Works with Credentials and Trust
Delegation often relies on token exchange, scoped credentials, or other forms of bounded trust. The important design choice is whether the second agent receives direct standing access, a narrow delegated token, or a policy decision for each action.
RFC 8693: OAuth 2.0 Token Exchange is the clearest external reference for this model because it defines how one token can be exchanged for another in delegation and impersonation flows. That matters when an agent needs to act on behalf of another principal without inheriting broader access than necessary.
For AI systems, delegation also intersects with identity, authentication, and authorization. The handoff should be auditable, the downstream action should be attributable, and the delegated scope should be narrower than the original principal's full authority.
Why Delegation Is Dangerous When Unbounded
Delegation becomes risky when systems treat it as a convenience layer instead of a constrained authority transfer. The main failure mode is privilege expansion, where an agent gains more access than the task requires and that access persists longer than intended.
This creates a path for misuse of secrets, unintended tool execution, and action chaining across systems that were never meant to be connected. In agentic environments, that can turn a single approved task into a broad operational trust relationship.
Strong delegation therefore needs visibility into who delegated what, to whom, and for how long. Without that record, it becomes difficult to distinguish legitimate on-behalf-of activity from abuse, misconfiguration, or compromise.
Risk and Threat Considerations
Delegation is a meaningful security risk because it can convert one trusted actor into a multiplier for access, actions, and side effects. If the delegated boundary is vague, an attacker only needs to compromise one agent or one handoff path to gain broader operational reach.
Failure mechanism: Overbroad delegation, long-lived delegated credentials, or weak action-level policy can let a receiving agent perform tasks outside the original intent, reuse secrets incorrectly, or continue acting after the trust relationship should have ended.
Impact: The result can be unauthorized actions, hidden privilege escalation, difficult-to-audit agent behaviour, and downstream compromise of connected systems, data, or tool integrations.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Agentic AI Top 10 addresses the attack and risk surface, while NIST SP 800-53 Rev 5 sets the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST SP 800-53 Rev 5 | AC-6 — Least Privilege | Delegation must limit the receiver to only the permissions needed for the task. |
| IA-5 — Authenticator Management | Delegation depends on controlled handling of credentials, tokens, and their lifecycle. | |
| AU-2 — Event Logging | Delegated actions need audit trails to preserve attribution and support review. | |
| Recommendation — Constrain delegated agent authority to the minimum access required for each approved action. Manage delegated credentials and tokens so they remain scoped, tracked, and revocable. Log delegated agent actions with enough detail to trace who acted, when, and under which authority. | ||
| OWASP Agentic AI Top 10 | ASI03 — Identity & Privilege Abuse | Agent delegation directly affects how one agent can inherit or misuse another's authority. |
| ASI09 — Human-Agent Trust Exploitation | Delegation can be abused when trust in one agent is transferred too broadly to another. | |
| Recommendation — Apply per-action authorization and avoid giving delegated agents excess privilege. Require explicit approval gates where delegated agent authority could be misused or overextended. | ||
Practitioner Guidance
Why practitioners should care: Delegation is safest when treated as a per-action authorization problem, not a general trust relationship. A good design makes the delegated authority visible, narrow, and revocable so that each hop can be reviewed on its own merits.
What to watch for: Pay close attention to delegated flows that reuse user sessions, broad API scopes, or standing service credentials. Those patterns are the most likely to blur accountability and make agent actions appear more authoritative than they really are.
Practitioner takeaway: If you cannot explain exactly what authority was transferred, for which task, and how it will expire, the delegation model is too loose for production use.
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Reviewed and updated by the NHIMG editorial team on October 23, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org