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
Threat assessment teams are starting to use AI models to help sort warning signs, and the governance around that work matters as much as the output
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
Learn how threat assessment teams use AI governance: compare outputs when models disagree, record the assumptions behind each call, name the person who makes the final decision, and set a follow-up review on a date fixed for each case
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