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Using AI in threat assessment raises a simple question: who answers for the call? This guide walks through a governance setup that runs several AI models on the same case and records where they disagree, instead of trusting one output

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A practical look at governing AI in threat assessment work

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Learn how threat assessment teams can use AI with clear guardrails: compare outputs across models when they disagree, log the assumptions behind each call, name the person who makes the final decision, and set a dated follow-up review

Threat assessment teams using AI models get a plain record of where the models disagree, which assumptions drove each call, and the named person who made the final decision. Follow-up reviews are set case by case