Machine-intelligence working framework

Production Agent Risk Register

Translate broad AI concern into concrete scenarios with triggers, preventive and detective controls, response actions, owners, and evidence.

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Published August 1, 2026Updated August 1, 2026Reviewed August 1, 2026By LongTermIntelligence.com

Direct answer

What belongs in a production AI-agent risk register?

A production agent risk register should describe the scenario, trigger, likelihood, impact, affected assets and people, preventive controls, detection signals, containment and recovery actions, owner, review cadence, and evidence. It should cover authority, identity, tools, memory, coordination, data, reliability, cost, and auditability.

Risks are written as scenarios rather than labels.
Every material risk has an owner and observable signal.
Controls must be tested, not merely documented.

Source basis: reviewed synthesis of the strategy corpus. Report-derived claims remain subject to the verification boundary in the source library.

Risk coverage

Eight risk domains

Use domain coverage to prevent a model-only risk review.

Goal and authority

Goal hijack, ambiguous instructions, unauthorized action, approval bypass, or delegation beyond scope.

Identity and tools

Persistent credentials, excessive privilege, unsafe tool composition, untrusted integrations, or supply-chain change.

Memory and context

Contamination, stale state, cross-tenant leakage, unsupported retrieval, retention, or provenance loss.

Coordination

Conflicting plans, incomplete handoffs, deadlock, duplicated work, race conditions, or semantic cascade.

Data and privacy

Unauthorized access, disclosure, transformation, movement, or use of sensitive data.

Reliability and recovery

Provider outage, looping, retry storm, partial completion, non-idempotent side effects, or rollback failure.

Cost and resources

Unbounded tokens, tools, time, concurrency, external calls, or downstream commitments.

Evidence and accountability

Missing trace, unclear version, unauditable approval, unowned exception, or unverifiable outcome.

Use this in practice

Write risks so they can be operated

A risk register should drive test cases, telemetry, runbooks, and release gates.

Describe a cause, event, and consequence.
Identify the earliest observable trigger.
Separate preventive, detective, and corrective controls.
Name the authority that accepts residual risk.
Test containment and recovery with representative scenarios.
Link each status to evidence and a review date.

Downloadable working files

Download the risk register

CSV template