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How to govern AI in threat assessment: log where models disagree, write down assumptions, name the person who makes the call, and schedule a follow-up review on a set date. Set review timing by risk level, not a default. Plain steps, no hype

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A practical look at governing AI in threat assessment work. Teams running more than one model can see where those models disagree, and that disagreement becomes a signal to investigate rather than a result to average away

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Learn how threat assessment teams use AI with governance: flag where models disagree, record the assumptions behind each call, name the person who decides, and schedule a follow-up review. Review timing is set per case, not by a fixed calendar

When AI models disagree on a threat case, who makes the call? This piece covers a governance setup that runs several models on the same case, records where they diverge, and writes down the assumptions behind each output