AI Incident Readiness
The First AI Incident Question: What Happened, and What Can We Prove?
Prepare an AI incident briefing that separates observed facts from assumptions and connects evidence, containment and business ownership.
Top One Percent AI · Practical guidance with linked sources.
An unexpected AI action creates two immediate problems. The organization needs to limit harm, and it needs a reliable account of what happened. Those jobs can compete if the first reaction destroys records or interrupts a critical service without a workable alternative.
Before an incident, leadership should agree how the team will build an initial picture. The questions below are a planning aid, not a universal minute-by-minute response procedure. Follow your organization's approved incident process and involve qualified responders when an event occurs.
Start with the observation
“AI leaked our data” is a conclusion. “An employee received a response containing a restricted document excerpt” is an observation the team can investigate.
An initial briefing should state what was seen, when it was seen, where it happened and who reported it. It should also say what remains unknown. A screenshot may preserve the visible result without proving how the system produced it or who else received it.
Use a short working record:
- Observed behavior and the affected business process.
- Known time window, including the time zone.
- People and systems involved so far.
- Actions already taken and who authorized them.
- Questions that would change the response decision.
Keep this record in the approved incident workspace. Avoid spreading sensitive prompts or customer information through broad chat channels.
Identify the system behind the answer
An AI feature may involve a model, an application, retrieved documents, an identity provider and connected tools. Naming only the model leaves much of the investigation unclear.
Ask the application owner which service produced the output, which identity it used, what information it could retrieve and whether it could take actions elsewhere. A model response and a downstream transaction are separate events. Investigators may need to connect them.
Microsoft's AI investigation playbook illustrates why AI investigations depend on configured telemetry, user and resource context, and correlation across services. Its implementation details are Microsoft-specific; do not assume another platform collects equivalent records by default.
The preparation task is to ask your own platform owners what exists, who can access it and how long it is retained. Discovering that after an incident is a preventable delay.
Make containment a business decision with technical input
The available choices may include pausing one integration, restricting an identity or disabling a feature. Each can have operational consequences. Technical responders should explain the options and their likely limits; the accountable business owner should understand what service will be affected.
Do not improvise destructive cleanup or replay a suspicious prompt in a production system to see whether it works again. Preserve relevant records through the approved process and keep evidence access restricted.
For an exercise, ask what the team would do if the safest immediate restriction also stopped a customer-facing workflow. Who can authorize it? What manual alternative exists? When will the decision be reviewed?
Use threat language without claiming certainty
MITRE ATLAS provides a vocabulary for adversary behavior involving AI. It can help technical teams organize hypotheses, but a label should not outrun the evidence. Unexpected output alone does not prove malicious activity.
A useful executive update separates three things: facts observed, hypotheses being tested and decisions required. Give each decision an owner and a next-update time. Avoid declaring a system safe merely because the visible symptom has stopped.
What to ask a speaker or exercise facilitator
Ask for a session that lets participants practice an initial briefing with incomplete information. Request examples of the decisions they will face, not a promise that a particular checklist prevents incidents.
Confirm whether the engagement includes an exercise, written observations or only a presentation. Build an event brief around the business process and audience. Keep live incident evidence out of a public inquiry form.