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When AI models disagree on a threat assessment, that gap gets logged, not averaged away. Every assumption is written down, a named person owns the final call, and a follow-up review is scheduled before anyone acts. *(About 215 characters

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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

How to govern AI in threat assessment: log where models disagree, write down assumptions, name the human who makes the final call, and schedule a follow-up review. The 30-day interval is an example, not a rule.

Compare where multiple AI models disagree, record the assumptions behind each threat call, name the human who owns the final decision, and set a follow-up review date that fits your risk level

Threat assessments often rest on judgment calls nobody writes down. This guide shows how to put AI governance around that work. Run more than one model on the same case, and log where they disagree and why

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