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Practical AI governance for threat assessment: what to do when models disagree, how to log assumptions, who the named human decision-maker is, and setting a follow-up review sized to your risk level. Plain steps for each
AI governance for threat assessment: a plain look at how teams using more than one AI model handle disagreements between them
Running several AI models on the same threat assessment often shows where they disagree. We log each model's assumptions, name the person who owns the final call, and set a follow-up review date that fits the case.
AI can help with threat assessment, but only if the reasoning stays reviewable. This piece walks through a governance routine that does that. When two models disagree on a risk rating, the disagreement gets logged, not averaged away
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