They should record each delegated action as a separate event with the worker identity, tool invoked, decision taken, and outcome. A single collapsed summary is not enough for forensics or governance. The goal is a replayable execution chain that shows how the result was produced, not just what the parent agent reported.
How to capture the execution chain without losing forensic value
For multi-agent investigations, the recording standard should match the way work actually happened, not how the parent agent summarised it. Each delegated action needs its own event so investigators can reconstruct sequence, responsibility, and tool use. That means preserving the worker identity, the invoked tool, the decision made, and the outcome for every step in the chain.
When teams collapse many steps into one summary record, they lose the ability to separate a bad decision from a bad delegation, or a legitimate action from a compromised one. A replayable chain gives you causal order, not just a final result, which is what incident response and governance reviews need.
For operational depth, the logging model should also keep the parent-child relationship explicit. A worker action should point back to the delegating agent, the request context, and any handoff or approval boundary so an analyst can see where authority changed and where the result was handed off.
What each event record should contain
A useful event record is small but complete. At minimum, it should identify who acted, what was requested, what tool or capability was used, what decision was taken, and what happened next. If an agent delegated to another worker, that delegation itself should be recorded as an event, not hidden inside a narrative field.
That structure makes later review practical because investigators can sort by worker, tool, transaction, or time, then trace the chain across hops. It also helps when different workers operate at different privilege levels, because the record shows where authority was exercised rather than only where the final output was produced.
For traceability, log the correlation key that ties related actions together and keep the event format stable across all agents. If teams allow each agent type to emit a different schema, the chain becomes hard to query and easy to misread during an investigation.
How to make the log useful for replay, review, and control
The main design choice is whether the log is descriptive or reconstructive. Descriptive logs say what happened in broad terms. Reconstructive logs preserve enough context to replay the decision path and test whether the same inputs, permissions, and tools would still produce the same result. For investigation work, reconstructive logging is the stronger standard.
That usually means retaining the action boundary, the decision point, and the result as distinct data elements. It also means keeping the record close to the source of execution, because if logs are written only after several agents have already summarised them, important detail is often flattened away.
Teams should also treat the record as part of governance, not just observability. If a worker can perform tool actions on behalf of a parent agent, the log must show that delegation clearly enough to support accountability, review, and post-incident containment.
Risk and Threat Considerations
Multi-agent systems create a common investigation failure mode: the more delegation and summarisation that happens, the easier it is to hide the exact step where a malicious, mistaken, or overprivileged action occurred. A collapsed summary can obscure abuse of delegated authority, lateral movement through tool access, or a harmful action that was approved upstream but executed downstream.
Failure mechanism: A parent agent or orchestration layer compresses multiple worker actions into a single narrative, removing the evidence needed to reconstruct responsibility, sequence, and tool-level intent.
Impact: Investigators cannot reliably prove what happened, which worker did it, or whether the event was a benign failure, a delegation error, or an adversarial action that used the orchestration chain as cover.
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 multi-agent actions hinge on identity and privilege boundaries. |
| ASI07 — Insecure Inter-Agent Communication | Agent handoffs and multi-hop delegation need auditable communication trails. | |
| ASI08 — Cascading Failures | Collapsed summaries hide the sequence that can amplify failures across workers. | |
| Recommendation — Record each delegated action with the acting worker and authority boundary. Log inter-agent handoffs so each tool action remains attributable. Preserve step-level events to trace failure propagation across agents. | ||
| NIST SP 800-53 Rev 5 | AU-3 — Content of Audit Records | Audit records must contain the details needed to reconstruct each action. |
| AU-12 — Audit Record Generation | The system must generate audit events for each material action in the chain. | |
| AU-6 — Audit Record Review, Analysis, and Reporting | Replayable chains support incident review and forensic analysis. | |
| Recommendation — Capture actor, action, outcome and relevant context for every delegated step. Generate a discrete audit event for every delegated worker action. Review linked audit events rather than relying on parent-agent summaries. | ||
Practitioner Guidance
What to verify: Check that every delegated step produces an event that can stand on its own during review. If an analyst cannot answer who acted, with what tool, and under what delegated authority from the record alone, the logging design is too coarse.
Decision rule: If the action can change state, expose data, spend money, or trigger another system, record it as an explicit event rather than folding it into a parent summary. Reserve summary records for dashboards and status views, not for forensic truth.
What good looks like: An investigator can follow the chain from parent request to each worker action, see the handoff points, and explain the outcome without depending on memory, chat transcripts, or reconstructed speculation.
Practitioner takeaway: The safest logging model is the one that preserves delegation as evidence, not just as metadata, because investigations fail when the execution chain cannot be replayed.
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Reviewed and updated by the NHIMG editorial team on October 22, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org