Accountability should sit with the service owner that accepted the delegation model, the platform that asserted identity if one was used, and the business owner that approved the scope. If any of those roles are undefined, the credential is operating outside a defensible governance chain.
Why This Matters for Security Teams
Delegated agent credentials create a governance chain that is only defensible if every handoff is explicit. In practice, the service owner, platform owner, and business owner each carry a different slice of accountability: the service owner accepts operational risk, the platform owner vouches for identity assertion and token handling, and the business owner approves the task scope. If any one of those roles is ambiguous, incident response becomes a blame exercise instead of a control exercise. That is exactly where NHIs become dangerous, especially when delegation is paired with autonomous behaviour and tool access. Guidance from the OWASP Agentic AI Top 10 and NIST AI Risk Management Framework both point toward accountable ownership, but neither replaces an internal decision on who can approve delegated authority. In practice, many security teams encounter a missing owner only after a token has been over-scoped, reused, or forwarded into an integration nobody can fully explain.
How It Works in Practice
For agent credentials issued through delegation, accountability should follow the approval path and the trust assertions used to mint the credential. If the agent received a short-lived token via workload identity, the platform team is accountable for correct issuance mechanics, while the service owner remains accountable for the workload that consumed the token and the actions taken with it. If a human or upstream system delegated intent to an agent, the business owner is accountable for the scope that was authorised and the risk accepted. This is where static RBAC often fails: autonomous systems do not behave like stable user groups, so pre-defined roles can quickly lag behind actual execution paths.
Best practice is evolving toward runtime decisioning, JIT issuance, and policy checks at the moment of use. That means intent-based authorisation, ephemeral secrets, and workload identity should be tied together so the credential expires with the task, not with a calendar cycle. NHIMG has documented how quickly exposed credentials can be abused in LLMjacking: How Attackers Hijack AI Using Compromised NHIs, and why dynamic secrets matter in the Ultimate Guide to NHIs — Static vs Dynamic Secrets. Operationally, that implies:
- recording who approved delegation, who minted the credential, and which workload identity received it;
- binding the token to a task, tool, or session, then revoking it on completion;
- using policy-as-code to evaluate the request at runtime, not just at onboarding;
- separating platform assertion from business approval so accountability does not collapse into one opaque owner.
These controls tend to break down in highly distributed agent pipelines where multiple services re-delegate authority across queues, webhooks, and orchestration layers because the original approver loses visibility into downstream privilege propagation.
Common Variations and Edge Cases
Tighter delegation controls often increase operational overhead, requiring organisations to balance speed against traceability. There is no universal standard for this yet, especially where agentic systems chain actions across teams or vendors. In some environments, the platform team only asserts identity while the business owner approves the use case, and that split is acceptable if the approval trail is retained and reviewed. In others, particularly when a managed service issues the credential on behalf of a customer, the service provider may share accountability for token issuance hygiene while the customer retains accountability for scope.
The hard edge cases are federated workloads, multi-agent systems, and cross-domain automations that blur the line between issuance and consumption. In those settings, current guidance suggests treating delegated agent credentials as ephemeral authorisations with named approvers and explicit expiry, not as durable entitlements. That aligns well with the direction of the CSA MAESTRO agentic AI threat modeling framework and the OWASP Non-Human Identity Top 10. For teams trying to operationalise this, the safest rule is simple: if no one can show the approval, issuance, and revocation chain for the delegated credential, accountability has already failed even if the tool still works.
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 CSA MAESTRO address the attack and risk surface, while NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Agentic AI Top 10 | A2 | Agentic systems need clear ownership for delegated actions and tool use. |
| CSA MAESTRO | TRT-2 | MAESTRO addresses agent threat modeling and accountability across trust boundaries. |
| NIST AI RMF | GOVERN | AI RMF governance is directly about accountable oversight for autonomous systems. |
Map each delegation hop, then require explicit approval and revocation points.
Related resources from NHI Mgmt Group
- Why is single-provider AI agent governance not enough for enterprise security?
- How can organizations manage the risk of credential leaks in MCP frameworks?
- How can organisations reduce the blast radius of compromised agent identities?
- Should organisations prioritise external exposure or internal credential governance first?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 4, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org