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This piece covers how threat assessment teams can use AI in case reviews without handing over judgment
Practical AI governance for threat assessment: compare outputs across models and document where they disagree, record the assumptions behind each call, name the person who owns the final decision, and schedule a follow-up review on a set date.
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
**Version (60-90 words):** A practical look at governing AI in threat assessment work. When several models disagree on a risk read, the disagreement gets logged, not averaged away
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