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Using AI to help assess threats means someone has to answer for the call

A practical look at governing AI in threat assessment. When multiple models disagree on a risk rating, the disagreement gets logged rather than averaged away

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Practical AI governance for threat assessment teams. Record where models disagree, document the assumptions behind each call, name the human who makes the final decision, and set a dated follow-up review on the calendar

Learn how threat assessment teams log where AI models disagree, write down the assumptions behind each call, name the person who makes the final decision, and set a follow-up review date for each case.

Threat assessment teams are starting to use AI models to help sort risk signals, and that creates its own governance problem

Practical AI governance for threat assessment: when models disagree, the disagreement gets logged. Assumptions are written down, a named person owns the final call, and a follow-up review is scheduled before anyone acts on the output.

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