Organisations should define each agent's allowed identities, approved tools, and session boundaries, then enforce those limits at runtime. Delegation chains, subagents, and shared tokens should be treated as explicit trust relationships, not informal workflow details. That approach preserves auditability while limiting blast radius when a session goes wrong.
What governance should cover for AI agent delegation
Good governance starts by making delegation explicit and reviewable. That means naming which principal the agent can act as, which actions it can take, which tools it may call, and which approvals are required before scope expands. For agentic systems, delegation is not just workflow design, it is an access decision that should be bound to policy.
When that boundary is clear, organisations can distinguish a legitimate on-behalf-of action from an unintended escalation. It also becomes easier to separate the agent’s own standing permissions from a temporary, task-scoped grant, which is the core control needed to keep delegated authority bounded.
How session scope should be defined and enforced
Session scope should be treated as a time-bound trust envelope, not a convenience layer. A session should have a defined identity context, an approved tool set, a bounded duration, and clear rules for whether it can create subagents or hand off state. The narrower the session scope, the easier it is to prove what the agent was allowed to do at a given moment.
Runtime enforcement matters because policy on paper does not stop a session from drifting through retries, chained prompts, or inherited tokens. Organisations should expect sessions to end, degrade, or reauthorise when the task changes materially, when a higher-risk tool is invoked, or when the agent crosses from observation into execution.
Why delegation chains and shared tokens need explicit controls
Delegation chains, subagents, and shared tokens create a linked trust structure, so a weakness anywhere in the chain can expand the blast radius of a single mistake. Treat each hop as a separate trust decision, with traceable ownership and revocation paths. A delegated session should not silently inherit broader rights just because another component already authenticated.
Shared tokens are especially sensitive because they can collapse accountability: one token may expose multiple actions, multiple tools, and multiple actors. Good governance limits token reuse, makes token purpose visible, and preserves attribution so the organisation can tell whether the event was a policy failure, a tool misuse, or an overbroad delegation pattern.
Risk and Threat Considerations
AI agent delegation becomes risky when the session boundary is broader than the task, or when subagents and shared tokens inherit more authority than the operator intended. In that case, a compromise, prompt injection, or tool misuse can turn a narrow request into a wider trust failure with poor attribution.
Failure mechanism: The control fails when delegation is treated as informal orchestration instead of a bounded authorisation model, so tokens, tools, or subagent privileges persist beyond the intended scope.
Impact: Attackers or faulty agents can reuse the same trust chain to expand access, trigger unauthorised actions, and obscure who approved or executed the sensitive step.
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 and OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST SP 800-53 Rev 5 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Agentic AI Top 10 | ASI03 — Identity & Privilege Abuse | Agent delegation and session scope are core identity and privilege decisions for agents. |
| Recommendation — Enforce per-action authorization and remove standing privilege from agent sessions. | ||
| OWASP Non-Human Identity Top 10 | NHI-05 — Overprivileged NHI | Delegated agent sessions can become overprivileged when scope and tokens are too broad. |
| Recommendation — Bound each agent session to least privilege and revoke excess access promptly. | ||
| NIST SP 800-53 Rev 5 | AC-6 — Least Privilege | Session scope and delegation should minimize permissions to the task at hand. |
| IA-5 — Authenticator Management | Shared tokens and delegated credentials require lifecycle control and revocation. | |
| Recommendation — Limit agent permissions to the minimum set needed for each approved action. Rotate and revoke shared tokens when agent scope or ownership changes. | ||
| NIST Zero Trust (SP 800-207) | 5.2 — Logical Components | Zero trust requires explicit verification of agent, request, and session boundaries. |
| Recommendation — Verify each agent request at runtime instead of trusting prior session state. | ||
Practitioner Guidance
What to verify: Confirm that every agent has a named owner, a defined principal, and an explicit policy for tool use and delegation. If a session can cross environments, call destructive tools, or hand off to another agent without reauthorisation, the scope is too broad.
What good looks like: The session is short-lived, purpose-bound, and logged at each trust transition, including subagent creation, token exchange, and privilege change. You should be able to reconstruct which permissions existed at each step without guessing from free-text prompts or workflow notes.
Common mistake: Teams often secure the model interaction but leave the delegation layer loose. That creates a false sense of safety, because the highest-risk behaviour usually appears when the agent is allowed to act, chain, or reuse credentials across steps.
Practitioner takeaway: Governance is strongest when delegation is treated as an auditable access grant with expiry, not as a background workflow convenience that inherits trust by default.
Related resources from NHI Mgmt Group
- Why is single-provider AI agent governance not enough for enterprise security?
- How can organisations reduce the blast radius of compromised agent identities?
- How should security teams govern API keys used for generative AI access?
- How should organisations govern AI agent access without losing operational speed?
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Reviewed and updated by the NHIMG editorial team on October 11, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org