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Using several AI models to assess threats? Log where they disagree, document your assumptions, name the person who makes the final call, and schedule a follow-up review. The 30-day cadence is just an example. Pick the interval that fits your risk
A practical look at governing AI in threat assessment work. When two models disagree on a risk rating, the disagreement gets logged instead of averaged away. Each assumption behind a finding is written down so a reviewer can challenge it later
Threat assessment teams are starting to use AI models to help triage risk, and the real question is how to govern that use
Practical AI governance for threat assessment: when models disagree, document the assumptions behind each call, name the human who makes the final decision, and set a follow-up review that fits the case, not a fixed 30 days
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