Teams should require hop-by-hop authorisation, so each principal in the delegation chain can be evaluated before the next action proceeds. That means binding policy to the original principal, the intermediate agent, and the downstream service instead of relying on a single approval at the start.
How delegated action governance should work in practice
Delegation needs to be treated as a chain of decisions, not a one-time grant. Each step should carry enough context for the next control point to decide whether the action is still permitted, whether the actor is still the same principal, and whether the intended scope has changed. That is the difference between a controlled delegation path and an unbounded act-on-behalf-of model.
Hop-by-hop authorisation is especially important when the delegated path crosses different trust boundaries, such as a user request being handled by an agent that then calls a service. Teams should verify the original principal, the intermediate actor, and the downstream target before allowing the next action. Where delegation is supported, the policy should travel with the action so the downstream decision is made from current authority, not historical approval.
This also means governance should distinguish delegation from impersonation. A system that merely forwards a user’s credential or token without preserving who is acting and why loses important accountability. A better model binds the decision to the subject, the delegated scope, the time window, and the intended resource so the action remains attributable even after several hops.
What good delegated-action controls need to preserve
Good governance keeps three things intact: identity continuity, scope continuity, and audit continuity. Identity continuity answers who started the action and who is currently exercising authority. Scope continuity limits what can be done at each stage. Audit continuity records enough detail to reconstruct the chain later, including the policy decision, the handoff, and the final execution path.
For human-to-agent and agent-to-service flows, the most useful control is usually per-action authorisation with narrow delegation rather than broad standing permission. That lets the system decide whether a request can proceed based on the exact operation, the destination, and the present context. It also reduces the common failure mode where a single approval at the start is treated as a permanent licence for everything that follows.
When the delegated action is sensitive, teams should expect policy to become more specific as the chain progresses. The original user intent may permit a high-level task, but the intermediate agent should still face constraints before invoking a tool or service. That is where AI Agent Authorisation Guide is most relevant, because it focuses on task-scoped access, delegated authority, and per-action decisions.
Where teams need to understand how these flows cross between people and machine identities, Human vs Non-Human Identity helps frame why shared credentials, consent grants, and acting-on-behalf-of patterns require different governance than ordinary user access. If the delegation path is not modelled clearly, the audit trail often looks valid while the actual authority chain is already broken.
Where delegated-action governance breaks down
The main failure pattern is over-trust at the first hop. If a user approval is treated as sufficient for every downstream action, an agent or service can expand the original intent into a much broader operation than the user expected. That creates privilege creep by delegation, especially when tools can chain actions across systems without fresh policy checks.
Another common break point is weak attribution. If the downstream service only sees the caller’s token and not the originating principal or delegation context, teams lose the ability to tell whether the action was genuinely authorised, automatically repeated, or maliciously redirected. In practice, this is where AI Agent Observability, Audit and Incident Response Guide becomes useful because it centres on action attribution, logging, and incident response for agent activity.
A further weakness is stale delegation. A grant that was acceptable for one task can become risky once the user session ends, the agent changes state, or the target service context shifts. Governance therefore has to include expiry, revocation, and revalidation conditions, not just a one-time approval record.
Risk and Threat Considerations
Delegated action chains widen the blast radius when policy is applied only once at the start. An attacker who compromises a user session, an agent runtime, or a service credential can abuse the delegation path to reach actions that were never individually reviewed, especially where intermediate hops are trusted to carry forward intent without re-checking scope.
Failure mechanism: the system preserves the appearance of approval while losing the security value of that approval at each hop, so a downstream action executes under inherited trust rather than current authorisation.
Impact: teams can get unauthorized tool use, data access, or transactional actions that are difficult to attribute back to the exact point where the chain became unsafe, which makes containment and post-incident reconstruction much harder.
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 |
|---|---|---|
| OWASP Agentic AI Top 10 | ASI03 — Identity & Privilege Abuse | Delegated actions can overextend authority across agent hops. |
| ASI02 — Tool Misuse | Delegated chains often fail when tools execute beyond the approved intent. | |
| ASI10 — Rogue Agents | Unbounded delegation can let an agent act outside the intended governance chain. | |
| Recommendation — Enforce per-action policy checks and bound delegated scope at each hop. Restrict tool calls to the exact approved action and destination. Require containment and revocation paths for agent-driven actions. | ||
| NIST SP 800-53 Rev 5 | AC-6 — Least Privilege | Delegated action control depends on limiting authority at each step. |
| AU-3 — Content of Audit Records | Hop-by-hop governance needs audit detail for attribution and review. | |
| Recommendation — Limit each principal to the minimum delegated permission needed for the task. Record the principal, delegation step, and policy decision for every hop. | ||
Practitioner Guidance
What to verify: require every delegated hop to show the original principal, the intermediate actor, the current scope, and the policy decision that justified the next step. If any one of those is missing, treat the chain as incomplete rather than assuming the initial approval is enough.
Decision rule: if the downstream action can change data, spend money, disclose sensitive information, or trigger another privileged workflow, re-authorise it at the point of use instead of relying on inherited permission.
What good looks like: the delegation record should let a reviewer reconstruct who asked for the action, who executed each hop, which policy allowed it, and where authority was reduced or revoked along the way.
Practitioner takeaway: delegated governance works when authority is evaluated continuously as it moves, not when a single approval is stretched across every later action.
Related resources from NHI Mgmt Group
- How should IAM teams govern tokens when access is delegated across users, services, and agents?
- How should security teams govern API access across humans, services, and agents?
- How should security teams govern AI agents that business users can create and customize across Microsoft 365?
- How should teams govern just-in-time access across users, machines and AI agents?