Rehearse the decisions your runbook assumes are possible
An AI incident tabletop is a facilitated discussion using an agreed fictional scenario. It tests whether the right people can recognise the problem, obtain evidence, approve containment and accept recovery. It does not attack production systems or establish that your controls would defeat a real adversary.
Atlant Security can scope an exercise around your AI workflows, dependencies and decision makers. The value is a documented set of gaps and owners: a missing contact, a misunderstood permission, a log nobody can access or a restart decision with no acceptance criteria.
Select a scenario with a business consequence
| Scenario | Decision under pressure | People to involve |
|---|---|---|
| Agent changes customer records | Pause the workflow, queued jobs or delegated access? | Application owner, operations and identity administrator |
| Assistant exposes restricted material | What distinguishes access from disclosure? | Data owner, security, privacy and legal |
| Retrieval source is manipulated | Quarantine which sources and rebuild which stores? | Knowledge owner, ingestion engineer and application team |
| Model API usage spikes | Revoke which key without disabling critical services? | Platform owner, finance and incident lead |
A useful exercise sequence
- Preparation: agree objectives, participants, assumptions and the fictional environment.
- Opening observation: provide an incomplete report and ask for the first decisions.
- Evidence inject: introduce a record or uncertainty challenging the initial hypothesis.
- Containment choice: record the decision owner, expected impact and unresolved dependencies.
- Recovery gate: ask what proves that restarting the workload is acceptable.
- Debrief: assign actions, owners, evidence of completion and a review date.
Measure the ability to act
Track whether participants identify a real authority, usable record source and escalation route. Record where a decision depends on a person or provider outside the exercise. Distinguish “we would revoke the token” from knowing which administrator can revoke it and what business process it would interrupt.
An exercise score is not a guarantee of future response. Use observations to update the AI incident response plan, evidence arrangements and retainer scope. Agree participant time, scenario depth and deliverable format before the session.
Discuss your situation
Build an incident brief with non-sensitive context, or request a scope discussion. We confirm people, access, fees and availability before work begins.
