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Use your smartphone’s notes app to jot down details, or a paper form kept in your glove box for accidents with structured prompts ready.

When AI models disagree on a threat assessment, the disagreement gets logged. Each review records its assumptions, names the human who owns the final call, and schedules a follow-up check. The review interval is set per case, not fixed at 30 days

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How to use AI in threat assessment without losing accountability. Compare outputs across models, log the assumptions behind each call, name the person who makes the final decision, and schedule a review date for every case. *(223 characters

Compare where multiple AI models disagree, record the assumptions behind each threat call, name the human who owns the final decision, and set a follow-up review date that fits your risk level

Threat assessment teams are starting to use AI models to help sort warning signs, and the governance around that work matters as much as the output

When AI models disagree on a threat assessment, we log where and why. Each call records its assumptions, names the person who owns the final decision, and sets a follow-up review date based on the risk, not a fixed 30 days

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A practical guide to governing AI tools used in threat assessment. Learn how teams handle it when two models disagree on a risk rating, why each working assumption needs to be written down before a decision is made, and how to name who owns the final call