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An AI incident response plan: decide who does what before it goes wrong
A model outputs illegal content, leaks data, or causes harm — how fast you handle an AI incident usually depends on the plan you made beforehand.
AI systems fail in ways traditional software does not: generating illegal or infringing content, unexpectedly leaking training data, or giving advice that causes real harm. When it happens, response speed depends on whether you thought through the process in advance.
A usable plan answers at least: who can emergency-disable or degrade a feature, how quickly you must assess whether notification duties are triggered, and who owns external messaging.
For incidents involving personal data, most jurisdictions set strict notification deadlines; the plan should build in the assessment and a clock.
Folding AI incidents into your existing security incident-response system, rather than building a separate one, is easier to operationalize.