How should organisations separate human intent from agent action on the endpoint?

They should treat the human session and the machine action as related but distinct events. The worker may initiate the task, but the agent can execute steps, move files, or trigger services. Governance should require logs that show who initiated the action, what the agent did, and whether the result stayed within policy.

Why this separation matters on the endpoint

On an endpoint, human intent and agent execution should be recorded as linked but not interchangeable events. That distinction matters because a worker can authorise a task without directly performing every step, while the agent may operate with different privileges, file paths, process context, or service access. If those are collapsed into one event, review, containment, and accountability all become weaker.

Good separation starts with a clean event model: the human session expresses initiation and approval, and the agent trail expresses execution and side effects. That means endpoint telemetry needs to preserve the initiator, the acting process or agent identity, the exact action taken, and the policy state at the moment of execution. Without that split, you cannot reliably tell whether a harmful outcome came from the person, the automation, or a policy gap.

This is especially important when the agent can chain actions. A single request may lead to file creation, command execution, network calls, or service triggers, so the endpoint record has to show the sequence, not just the start and finish. For agent-driven environments, AI Agent Observability, Audit and Incident Response Guide is useful because it emphasises attribution, agent logs, and the signals that show when an agent has drifted out of bounds.

What the logs must prove

The minimum requirement is not just “something happened”, but “who started it, what executed it, and what changed”. Endpoint logs should make the human-to-agent handoff visible, including the request context, any delegated authority, and the resulting artifact or service action. If the agent acted on behalf of a person, the record should still preserve the agent as the actor of execution.

That proof becomes more important when the agent uses credentials, tokens, or local trust to complete the task. In those cases, the endpoint is not merely observing behaviour, it is documenting a delegation path. Agentic AI Identity Guide is directly relevant because it treats registration, delegation, authentication, and retirement as separate identity events for agents. RFC 8693: OAuth 2.0 Token Exchange is also a useful reference point when the environment uses on-behalf-of or impersonation flows, because the log should preserve the delegation chain rather than flatten it.

For practitioners, the important question is whether the log can answer a later investigation without guessing. If the evidence only shows the user launched a tool, but not which agent process moved the file or called the service, the audit trail is incomplete. If the evidence only shows the agent action, but not the initiating session or approval condition, accountability is incomplete.

How to keep the human session and machine action distinct

Separate identity, separate authorisation, and separate telemetry are the practical controls. The human session should be validated as the initiating context, while the agent should execute under its own bounded permissions and produce its own traceable actions. That is the cleanest way to preserve attribution without forcing every agent step to look like a human action.

Policy enforcement should happen at the point of action, not just at the point of initiation. A worker may request a task, but the endpoint still needs to decide whether the agent can read, write, move, launch, or call services for that specific step. AI Agent Authorisation Guide is the strongest internal reference here because it focuses on task-scoped access, per-action decisions, delegated authority, and human approval gates.

Where browser or desktop use is involved, endpoint separation also needs session isolation and explicit confirmation for high-impact actions. Browser and Computer-Use Agent Security Guide reinforces that an agent acting through a human session can inherit the user’s trust too easily, so the endpoint must distinguish between viewing, typing, clicking, and authorising a consequential action.

Risk and Threat Considerations

When human intent and agent action are blended, organisations can lose both accountability and containment. The main risk is that a benign request becomes a high-impact machine action without a clear record of which step exceeded policy, especially when the agent can reuse active sessions, local credentials, or broad filesystem access.

Failure mechanism: The endpoint logs only the initiating user or only the executing process, so delegation is flattened and later review cannot reconstruct the real action chain. That makes it easier for an over-permissioned or compromised agent to hide inside normal user activity, or for an operator to over-trust an automated step that was never separately authorised.

Impact: Investigations become slower and less reliable, blast radius is harder to define, and policy breaches may be mistaken for approved work. In practice, this weakens incident response, obscures misuse of delegated access, and makes it harder to prove whether the outcome stayed within policy.

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-05 — Overprivileged NHI	Agent actions on endpoints can exceed intended scope through excessive permissions.
	NHI-04 — Insecure Authentication	Delegated endpoint actions depend on clear authentication and on-behalf-of identity handling.
Recommendation — Limit agent endpoint privileges to the minimum actions needed for each task. Verify the agent’s execution identity before allowing sensitive endpoint actions.
OWASP Agentic AI Top 10	ASI03 — Identity & Privilege Abuse	The question is about separating human intent from agent execution and preventing privilege confusion.
Recommendation — Enforce per-action authorization so agent execution cannot exceed delegated intent.
NIST SP 800-53 Rev 5	AU-2 — Event Logging	The answer depends on logs that capture initiator, executor, and outcome separately.
	AC-6 — Least Privilege	Agent actions on the endpoint should be bounded by least-privilege access.
Recommendation — Log initiation, execution, and results as distinct auditable events. Constrain agent privileges to the smallest set of endpoint actions required.

Practitioner Guidance

What to verify: Confirm that endpoint telemetry can distinguish initiation, execution, and result. A usable record should show the human session, the agent or process identity, the action sequence, and the policy decision at each sensitive step.

What good looks like: A reviewer can answer three questions from the log alone, who asked for the task, which agent performed it, and whether any action exceeded the intended scope. If those cannot be answered without correlating multiple systems by guesswork, the control is too weak for reliable governance.

Common mistake: Treating “user launched the agent” as sufficient attribution. That shortcut hides the difference between intent and execution, which is exactly where unsafe delegation, privilege misuse, and ambiguous accountability tend to appear.

Practitioner takeaway: Design the endpoint record so the human remains the source of intent, the agent remains the source of action, and neither can be mistaken for the other when the result is reviewed later.