Threat assessment teams are starting to use AI models to help sort risk signals, and the governance gaps are real
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A practical look at governing AI in threat assessment work
A practical look at governing AI in threat assessment work. Teams running more than one model can see where those models disagree, and that disagreement becomes a signal to investigate rather than a result to average away
When AI models disagree on a threat case, who makes the call? This piece covers a governance setup that runs several models on the same case, records where they diverge, and writes down the assumptions behind each output
**Short description (under 255 characters):** Running several AI models on threat assessments? Log where they disagree, write down the assumptions behind each call, name the person who makes the final decision, and set a dated follow-up review
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Practical AI governance for threat assessment: compare outputs across models, flag where they disagree, log every assumption, name the human who signs off, and set a review date based on your own risk tier, not a default 30 days. *(About 230 characters