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This guide covers how to govern AI use in threat assessment without overstating what the tools know

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Using AI to help assess threats only works if someone can explain the result later. Our approach logs every case where two or more models disagree on a risk rating, instead of averaging the answers away

Running more than one AI model on a threat assessment often shows where they disagree, and that disagreement is worth recording

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**Long version (60-90 words):** Threat assessment teams are starting to use AI models to help sort risk signals, and the hard part is governing how those tools get used

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Our AI threat assessment guide shows how to run several models side by side, log where they disagree, record every assumption, name the person who makes the call, and set a follow-up review date. Timing varies by case, not a fixed 30 days