They should log the complete delegation context for every verify, including the originating user, the agent identity, any parent agent, the tool requested, the target resource and the final decision. Without that tuple, audit trails show that a token was valid but not who actually drove the risky action.
What belongs in an auditable agent action record?
Auditable agent actions need more than a success or failure line. The record should preserve the full delegation chain and request context so investigators can reconstruct who initiated the action, which agent executed it, what tool was invoked, what target was touched, and whether the final decision was allowed or denied. That is the difference between “a token was used” and “this specific delegated action happened.”
For agentic systems, the important logging unit is the verify event, not just the raw API call. A useful audit trail should tie together the originating user, the agent identity, any parent agent, the requested tool, the target resource and the policy outcome. That structure supports attribution across chained delegation and helps distinguish a legitimate automated step from a risky action taken under valid credentials. See the AI Agent Observability, Audit and Incident Response Guide for the logging signals that make agent behaviour reconstructable.
Without that context, logs often tell you that an authentication event occurred but not who actually drove the sensitive operation. This matters when multiple agents can act on behalf of the same user, when one agent calls another, or when a workflow mixes human approval with delegated execution. The audit record has to preserve enough structure to answer, after the fact, whether the action was directly user-driven, delegated, re-delegated or automatically expanded through a tool chain.
How delegation context turns logs into evidence
The most useful audit record is a tuple, not a single field. Originating user, agent identity and parent agent establish attribution. Tool requested and target resource establish intent and scope. Final decision establishes control outcome. Together, those elements let security teams reconstruct the delegation path, correlate events across systems and determine whether privilege, tool access or policy enforcement behaved as expected.
That tuple also reduces ambiguity in post-incident analysis. If an agent performed a risky step, teams need to know whether the request was approved, whether a different parent agent introduced the action, and whether the decision was blocked but the attempt itself still matters. A complete record gives you the chain of custody for the action itself, which is the practical basis for accountability in multi-step agent workflows. The Multi-Agent and A2A Security Guide explains why multi-hop delegation and inter-agent trust need explicit attribution rather than assumed context.
In practice, the audit trail should be consistent enough to join across identity, policy and execution systems. If the agent runs through a gateway, the gateway, the policy engine and the tool backend should all be able to emit correlated identifiers for the same delegated action. If those identifiers do not line up, the organization may have logs, but not evidence.
What to capture so investigators can trust the log
Strong auditability depends on logging fields that survive normal operational noise. At minimum, the record should include stable principal identifiers, a unique action or correlation ID, the delegation source, the policy decision, the tool or capability invoked, the resource acted on and any approval or escalation result. The logging format should be consistent enough that a verifier can trace the action across agents and systems without manual guesswork.
It is also worth separating attribution from transport details. A token, session or API call may explain how the action was executed, but the audit record must explain whose authority was exercised and through which delegation path. That is why a good agent log design usually records both the request context and the authorization context. The AI Agent Authorisation Guide is useful here because it ties per-action policy decisions to delegated authority and least privilege, which are the controls that make those logs meaningful.
Where agents can reach sensitive systems, logging should also preserve enough detail to support containment decisions later. That usually means retaining the exact target object, the requested operation and the outcome, rather than only a generic “tool used” event. If the record cannot answer what changed, who asked for it and who had authority, it will not support a serious investigation.
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 | Agent audit logs must attribute delegated identity and decisions. |
| ASI07 — Insecure Inter-Agent Communication | Parent-agent and multi-hop delegation need traceable handoffs. | |
| Recommendation — Log delegated principal, agent and approval data for every sensitive action. Record parent-agent links and correlated request IDs across agent hops. | ||
| NIST SP 800-53 Rev 5 | AU-3 — Content of Audit Records | Audit records need sufficient fields to reconstruct the action and decision. |
| AU-12 — Audit Record Generation | The system must generate audit evidence at the point of delegated action. | |
| AC-6 — Least Privilege | Logging delegated actions supports review of whether agent authority is excessive. | |
| Recommendation — Include originator, executor, target, tool and decision fields in audit events. Generate structured audit events for every delegated agent verify. Use logs to review and tighten per-action agent privileges. | ||
Practitioner Guidance
What to verify: Check that every risky agent action can be traced from the originating user through any parent agent to the final execution event. If any link in that chain is missing, the audit trail is not yet fit for incident review or accountability.
What good looks like: A reviewer can reconstruct the exact delegation path, the requested tool, the resource touched and the policy decision without cross-referencing ad hoc notes or chat transcripts. The log should explain the action, not merely prove that some authenticated token existed.
Common mistake: Teams often log only the agent’s API call or only the user login. That leaves a false sense of traceability while hiding the actual delegated authority that produced the action.
Practitioner takeaway: Auditable agent logging is about reconstructing authority, not just recording activity. If the record cannot show who delegated the action, who executed it and what was approved, it will fail the first serious investigation.