When several AI models assess the same threat and disagree, that gap is useful information, not noise
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Practical AI governance for threat assessment: when models disagree, document the assumptions behind each call, name the human who makes the final decision, and set a follow-up review that fits the case, not a fixed 30 days
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This piece looks at how AI governance can support threat assessment without replacing human judgment
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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
A practical look at governing AI in threat assessment work. Learn how teams compare outputs when models disagree, write down the assumptions behind each judgment, and name the human who makes the final call
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