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.
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A practical look at governing AI in threat assessment work
How do you record an AI-assisted threat assessment so someone can check it later? This piece walks through a governance setup we've used. Run the same case through several models and log where they disagree
Practical AI governance for threat assessment: compare outputs when models disagree, log the assumptions behind each call, name the person who owns the final decision, and set a follow-up review date that fits the case
When AI models disagree on a threat assessment, the disagreement gets logged. Each review records its assumptions, names the human who owns the final call, and schedules a follow-up check. The review interval is set per case, not fixed at 30 days
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AI governance for threat assessment starts with a simple question: who owns the call? This guide explains how to run several AI models on the same case and treat their disagreements as a signal to investigate, not a tie to break