**Blurb (60-90 words):** When AI models help assess threats, a single confident answer can hide real uncertainty
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Learn how threat assessment teams log where AI models disagree, write down the assumptions behind each call, name the person who makes the final decision, and set a follow-up review date for each case.
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Threat assessment teams are starting to run several AI models at once, and when they disagree, that gap is useful information
Learn how AI-assisted threat assessment teams can log where their models disagree, record the assumptions behind each call, name the person who makes the final decision, and set a follow-up review date for each case
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
Practical AI governance for threat assessment: what to do when models disagree, how to log assumptions, who the named human decision-maker is, and setting a follow-up review sized to your risk level. Plain steps for each