Because the malicious behaviour often looks like legitimate execution until you compare the agent’s intended scope with what it actually exercised. Identity and orchestration telemetry expose the permission gap and the delegation path that runtime logs alone cannot explain.
Why runtime logs miss the real attack boundary
Runtime logs tell you what executed, but not always who was entitled to make that execution happen. In AI agent abuse, that distinction matters because an attack can look like a normal tool call, API request, or workflow step unless you can compare the action to the agent’s delegated scope, approval path, and trust context.
Identity telemetry adds the missing subject: which principal was used, whether it was a human, service, or agent identity, and how that identity was provisioned or constrained. Orchestration telemetry adds the missing control-plane view: task assignment, delegation, policy checks, handoffs, and approval state. Together they show whether the agent stayed inside the expected boundary or crossed it through legitimate-looking execution.
That is why runtime-only monitoring often under-explains the blast radius. A log line may show a successful action, but only identity and orchestration records can reveal whether the action was consistent with least privilege, whether a stolen token was reused, or whether the agent was induced to exercise permissions it should never have had in the first place.
What identity and orchestration telemetry reveal that logs do not
The key investigative value is correlation. Identity telemetry answers agent identity and security questions such as which identity authenticated, how it was scoped, and whether the credential or token was appropriate for the task. Orchestration telemetry answers whether the runtime action came from an expected instruction path, approval flow, or multi-step agent chain.
That separation matters in delegated systems. An agent may use a valid credential and still be acting outside its intended mandate, especially when the attack path involves consent abuse, over-scoped delegation, token replay, or a confused-deputy pattern. In those cases, the relevant failure is not simply that something ran, but that the control plane allowed the wrong actor, scope, or request context to become operational.
Good telemetry therefore needs to preserve the relationship between request, principal, policy decision, and downstream tool use. When that chain is intact, you can distinguish routine automation from misuse, and you can determine whether the right fix is revocation, policy tightening, approval changes, or agent redesign.
Why this changes detection, response, and containment
Detection improves because orchestration telemetry exposes deviations from expected agent behaviour, while identity telemetry exposes privilege anomalies that the application or process log will not label as suspicious on its own. For example, an agent can appear to perform a legitimate administrative action while actually operating with broader scope than the task required. The anomaly is the permission gap, not the command itself.
Response also becomes more precise. If you only see runtime events, you may kill the workload too late or rotate the wrong secret. With identity and orchestration context, you can revoke the exact delegated path, identify whether the issue was a compromised identity, an excessive grant, or a malicious instruction sequence, and preserve evidence for later review.
At scale, this distinction is even more important. Many agent actions are high-volume, routine, and partially autonomous, so defenders need a control-plane record that explains why an action was allowed, not only that it occurred. Without that, teams end up treating all agent activity as equally trustworthy or equally suspicious, which is operationally expensive and analytically weak.
Risk and Threat Considerations
AI agent attacks often exploit trust in legitimate execution paths, so the main risk is not obvious malware-like behaviour but silent overreach through valid identities, delegated authority, or mis-scoped orchestration. Runtime logs can show the effect after the fact, yet still leave ambiguity about whether the actor was authorised, impersonated, or manipulated into using a wider permission set than intended.
Failure mechanism: An attacker abuses a valid agent identity, stolen token, over-permissive delegation, or manipulated workflow step so that the malicious action appears operationally normal in runtime logs.
Impact: Defenders lose the ability to distinguish permitted automation from misuse, which delays containment, obscures blast radius, and can turn a single compromised agent path into broader credential, data, or tool abuse.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 and OWASP Agentic AI Top 10 address 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 Non-Human Identity Top 10 | NHI-04 — Insecure Authentication | Agent abuse often hinges on valid or stolen authentication material. |
| NHI-05 — Overprivileged NHI | The question centers on detecting permission gaps beyond visible runtime actions. | |
| Recommendation — Correlate authentication events with agent actions to spot token misuse and unauthorized execution. Reduce agent privilege to the minimum scope needed for each task and review excess grants. | ||
| OWASP Agentic AI Top 10 | ASI03 — Identity & Privilege Abuse | This is directly about agent identity, delegated authority, and privilege misuse. |
| Recommendation — Join identity and orchestration telemetry to detect when an agent exceeds its delegated authority. | ||
| NIST SP 800-53 Rev 5 | AU-6 — Audit Review, Analysis, and Reporting | The answer depends on correlating logs with identity and orchestration evidence. |
| IA-5 — Authenticator Management | Agent attacks frequently involve token theft, reuse, or poor credential lifecycle control. | |
| Recommendation — Review and correlate audit sources so incidents can be reconstructed across control-plane and runtime events. Rotate and revoke agent authenticators promptly when misuse or overreach is suspected. | ||
Practitioner Guidance
What to verify: Verify that every material agent action can be joined to a principal, an approval or policy decision, and the orchestration event that justified it. If any of those links is missing, treat the telemetry as insufficient for incident analysis even if runtime logs look complete.
Decision rule: If an action is technically valid but not explainable from the agent’s intended scope, prioritise delegation review and credential containment over simple log review. The operational question is whether the control plane would have allowed the action, not whether the runtime happened to execute it.
Practitioner takeaway: Runtime logs record execution, but identity and orchestration telemetry record authority, and in agentic systems authority is the difference between an allowed action and a compromise.
Related resources from NHI Mgmt Group
- What is the difference between human identity governance and AI agent governance?
- Why do AI agent security risks require immediate attention?
- Why is identity such a critical factor in securing AI agent systems?
- Why do AI agent workloads on AKS need runtime telemetry in addition to identity and policy controls?