Threat assessment teams are starting to use AI models to help sort risk signals, and that creates its own governance problem
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Threat assessment teams using AI need a paper trail. This guide covers logging where models disagree, recording the assumptions behind each call, naming the person who signs off, and setting a dated follow-up review
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This guide covers how to handle disagreement between AI models in threat assessments. Record the assumptions behind each assessment, name the person who makes the final call, and schedule a follow-up review
This post walks through how threat assessment teams can use AI without handing it the decision. When several models disagree about a case, the disagreement gets logged and reviewed rather than averaged away
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Practical guide to AI governance in threat assessment: when models disagree, record your assumptions, name the person who makes the final call, and set a follow-up review date that fits each case
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