Teams should test the agent against a real customer task, then verify three things: it completes the work within the authority and time budget given, it stays inside the intended scope of access, and it produces an audit trail that reconstructs which identity acted for which user. The key question is not whether the model sounds capable, but whether the workflow enforces boundaries and revocation cleanly.
How to tell whether the agent is acting within delegated authority
For product teams, the evaluation should start with a real task, not a demo script. The agent must prove it can finish the customer’s job using only the authority that was intentionally delegated, within the allowed time window, and without reaching for broader permissions as a shortcut. The practical test is whether the workflow preserves boundaries even when the task gets messy or partially fails.
A useful evaluation separates capability from authority. An agent may appear competent at a task and still be unsafe if it can browse, modify, send, or transfer data beyond the customer’s intended scope. That is why teams should assess the exact user journey, the decision points where access is exercised, and the revocation path that should stop the agent cleanly when the task ends or the approval expires.
When delegated access is involved, the critical question is whether the system can reconstruct who acted, for whom, and under what approval. That means the evaluation should check whether the identity chain stays intelligible across handoffs, whether policy is enforced per action, and whether the customer can later audit the agent’s behaviour without guessing which step belonged to the model, the platform, or the end user. For a broader identity lens on this boundary problem, Human vs Non-Human Identity is a useful reference point.
What scope checks should product teams run before launch?
Scope testing should ask whether the agent can only do what the task truly requires, not what the product team hopes it will not discover. In practice, that means validating the minimum access path, the explicit task boundary, and the conditions under which the agent must pause for approval or fail closed. If the agent can complete the same customer task using a narrower permission set, the broader set is already a design smell.
Teams should also test the edges, because overstepping often happens at the edge of a normal workflow: retries, exception handling, partial completions, and fallback actions. The evaluation should confirm that the agent cannot quietly expand its scope through another tool, a second API route, or a helper step that was not part of the original approval. A good control model for this is AI Agent Authorisation Guide, which focuses on task-scoped and just-in-time access.
Product teams should also verify the revocation story before they ship. If a customer ends the task, changes their mind, or the platform detects unusual behaviour, access should collapse quickly and predictably. A clean revocation path matters because an agent that can start work safely but cannot be stopped or narrowed safely is not actually operating under delegated control.
How should teams prove the audit trail is trustworthy?
Auditability is part of the evaluation, not a separate operational nicety. The log record should make it possible to reconstruct the action chain at a level that is useful for support, incident review, and customer trust. That means recording the acting identity, the delegated principal, the tool or system touched, the action taken, and the boundary decision that allowed it.
The most important judgement is whether the evidence is reconstructive or merely decorative. If logs only show that “the agent did something,” they are not good enough for delegated access. Teams need evidence that shows the access decision, the scope applied, and the point at which the task was completed or revoked. That is why observability and attribution should be designed together, not bolted on after a failure. AI Agent Observability, Audit and Incident Response Guide is directly relevant here because it focuses on attribution, logging, and tested kill-switch behaviour.
Where agent action is technically on behalf of a customer, the audit trail should also preserve the delegation mechanism itself. In delegated flows, the system needs enough structure to explain why one identity could act for another and how that permission was bounded. The standard token delegation model in RFC 8693: OAuth 2.0 Token Exchange is a useful external reference for that kind of on-behalf-of chain.
Risk and Threat Considerations
Delegated access becomes risky when the agent can do a valid task and still exceed the customer’s intent. The main exposure is not model failure in the abstract, but authority creep, where a useful workflow turns into an overprivileged execution path, a hidden impersonation path, or an action trail that cannot be reconstructed after the fact.
Failure mechanism: The agent gains broader access than the task requires, or the system cannot distinguish approved customer action from agent overreach, especially when tokens, approvals, or tool calls are reused across steps.
Impact: A customer task can spill into unauthorized data access, unwanted side effects, or irreversible changes, and the organisation may be unable to prove what the agent did or revoke it fast enough.
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, OWASP Non-Human Identity Top 10 and MITRE ATT&CK address the attack and risk surface, while NIST Zero Trust (SP 800-207) and OWASP ASVS set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Agentic AI Top 10 | ASI03 — Identity & Privilege Abuse | Delegated customer tasks hinge on preventing the agent from exceeding approved authority. |
| ASI09 — Human-Agent Trust Exploitation | Customer delegation can fail when users trust the agent beyond its actual scope. | |
| Recommendation — Enforce per-action authorization and task-scoped access for customer-facing agent workflows. Add approval gates and explicit boundary cues where users can misread agent capability. | ||
| OWASP Non-Human Identity Top 10 | NHI-05 — Overprivileged NHI | The agent is a non-human actor whose permissions must stay minimal for the task. |
| NHI-10 — Human Use of NHI | Customer tasks often mix human intent with agent execution and delegated access. | |
| Recommendation — Reduce standing access and verify the agent cannot act beyond the customer-approved scope. Preserve clear human-to-agent delegation boundaries and audit who initiated each action. | ||
| NIST Zero Trust (SP 800-207) | SC-3 — Continuous Verification | The workflow must continuously enforce boundaries instead of trusting initial approval alone. |
| Recommendation — Verify the agent, principal, and request at each step rather than relying on a one-time grant. | ||
| OWASP ASVS | V8 — Authorization | The evaluation is about whether actions stay inside approved access boundaries. |
| V16 — Security Logging and Error Handling | A trustworthy audit trail and clean failure behaviour are central to the question. | |
| Recommendation — Verify that each task action is authorised against the correct user and scope. Ensure logs preserve delegation context and failures do not leak or expand access. | ||
| MITRE ATT&CK | T1550 — Use Alternate Authentication Material | Delegated agents often rely on tokens or other materials that can be reused beyond intent. |
| Recommendation — Track and constrain token use so delegated material cannot be repurposed outside the task. | ||
Practitioner Guidance
What to verify: Use a live or high-fidelity customer task and confirm three outcomes: the agent stays inside the intended permission boundary, the work completes inside the expected time budget, and the resulting record lets you reconstruct the full delegation chain. If any one of those fails, the agent is not ready for broader customer-facing use.
Common mistake: Teams often treat successful task completion as proof of safety. In delegated access scenarios, success is only meaningful if the same path would still be acceptable when the agent is constrained, interrupted, or forced to justify each action step by step.
Practitioner takeaway: The right release decision is not “can the agent do the task?” It is “can it do the task while remaining bounded, attributable, and revocable in the exact way the customer intended?”
Related resources from NHI Mgmt Group
- How should security teams monitor AI agent activity without disrupting developers?
- How should security teams implement delegated AI agent access on local devices without creating standing credential risk?
- When does AI agent access create more risk than it reduces?
- What is the difference between governing human access and governing AI agent access?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 30, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
