Join our Newsletter — 33% off our NHI Course
Home› FAQ› Governance, Ownership & Risk› What should marketplaces log when AI agents complete…
Governance, Ownership & Risk

What should marketplaces log when AI agents complete transactions?

← Back to all FAQ
By NHI Mgmt Group Editorial Team Updated November 9, 2026 Domain: Governance, Ownership & Risk

Marketplaces should log the policy decision, the agent identity, the transaction context, the resources requested, the authorisation outcome and the human or system that granted the decision. Those records support auditability, dispute handling and revocation, and they show whether the marketplace allowed the action under standing rights, delegated scope or a just-in-time exception.

What to record when an AI agent is allowed to complete a transaction

Markets need an audit trail that shows not just what the agent did, but why it was permitted to do it. The minimum useful record is the policy decision, the acting agent, the request context, the resources touched, the authorisation result, and the human or system that approved or delegated the action.

That record is what makes later review possible. Without it, you may know a transaction occurred, but not whether it was allowed under standing rights, a delegated scope, or a just-in-time exception.

Why transaction logs need both intent and authority

For agent-led transactions, the log must capture the request as a governed decision, not just an application event. The important distinction is between an agent that initiated an action and the authority path that made the action valid. That is why the log should preserve the decision outcome alongside the agent identity and the transaction context.

This is especially important when a marketplace supports AI agent authorisation, because the same action can mean very different things depending on whether it was covered by standing privilege, a delegated scope, or an approved exception. If you only log the result, you lose the governance trail that explains the result.

A useful log also records the resources requested, because that is how reviewers can tell whether the agent asked for the right object, a broader set than expected, or a resource outside its normal scope. In transaction systems, that distinction is often what separates a routine approval from a policy breach or a misuse of delegated access.

What the log should let you prove later

The log should let an operator reconstruct four things quickly: who or what acted, what was requested, who or what allowed it, and under which rule. If those four elements are present, you can support audit review, dispute handling, rollback decisions, and revocation without guessing which control failed.

For agentic systems, that also means keeping the approval path intact. A complete record should show whether the authorisation came from a standing entitlement, a scoped delegation, or a just-in-time approval. It should also show the approving principal, because that is what makes the decision attributable when a transaction needs to be challenged or reversed.

Where the agent is operating across tools or services, it is also useful to preserve enough context to understand cross-system effects. A transaction may look small in one marketplace record but have wider impact if it triggered downstream purchase, fulfilment, payment, or account changes elsewhere.

Risk and Threat Considerations

When a marketplace cannot reconstruct the approval path, agent transactions become hard to dispute, hard to contain and hard to revoke. The main exposure is not just poor logging, but loss of trust in the control decision itself, especially when the agent can act repeatedly under the same standing rights.

Failure mechanism: Sparse logs capture the transaction result but omit the policy basis, the acting identity or the delegating principal, so the organisation cannot tell whether the action was authorised, over-scoped or later abused.

Impact: That gap weakens forensic review, makes revocation slower, and increases the chance that repeated unauthorised activity is treated as legitimate system behaviour.

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 and OWASP API Security 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.

FrameworkControl / ReferenceRelevance
OWASP Agentic AI Top 10ASI03 — Identity & Privilege AbuseAgent transactions need logged authority and scope decisions to prevent misuse.
Recommendation — Log every agent action with the authorisation path and scope consumed.
NIST SP 800-53 Rev 5AU-2 — Event LoggingThe subject is about what transaction events must be recorded for accountability.
AU-3 — Content of Audit RecordsThe answer depends on which fields must appear in each transaction record.
AU-6 — Audit Record Review, Analysis, and ReportingComplete logs support later review, dispute handling and revocation decisions.
Recommendation — Define audit events that capture agent identity, decision outcome and context. Record the actor, resource, outcome and authorising principal in each log entry. Review agent transaction logs for anomalies, scope drift and unauthorised approvals.
OWASP API Security Top 10API5 — Broken Function Level AuthorizationLogging the authorisation outcome helps expose when an agent used a function it should not reach.
Recommendation — Verify function-level checks before accepting agent-triggered transactions.

Practitioner Guidance

What to verify: Confirm that every completed transaction emits a decision record that ties the policy outcome to a specific agent identity and an explicit authority path. If you cannot answer “under what right did this action occur?” from the log alone, the record is not complete enough for operations.

Decision rule: If the transaction was allowed outside standing rights, the log must clearly distinguish that exception from normal access so later reviewers can revoke or narrow it without re-litigating the original approval.

What good looks like: A reviewer can trace the transaction from request to approval to execution, then identify exactly which human, system or policy granted it and what scope was consumed. That is the level of evidence needed when an agent acts at scale or across multiple workflows.

Practitioner takeaway: Treat agent transaction logging as an authorisation record first and an activity log second, because auditability depends on preserving the decision path, not just the completed action.

Free weekly newsletter

Subscribe to the NHI & AI Identity Journal

The latest on NHI and Agentic AI security – articles, research, breaches, news and events every week.

Bonus 33% off our NHI Course when you subscribe.

NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on November 9, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org