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When AI models disagree on a threat assessment, log the gap, record the assumptions behind each call, and name the person who signs off. Set each follow-up review date based on the risk level

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

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

**Main blurb (83 words):** Running more than one AI model on the same threat assessment shows you where they disagree, and that's often the most useful part