Learn how teams govern AI in threat assessment: compare outputs when models disagree, log every assumption, name the person who makes the final call, and schedule a follow-up review that fits the case. *(201 characters
Threat assessment teams are starting to use AI models to help sort reports, but no single model's output should drive a decision on its own. This piece walks through a governance setup that runs several models side by side and records where they disagree
Our AI threat assessment guide shows how to run several models side by side, log where they disagree, record every assumption, name the person who makes the call, and set a follow-up review date. Timing varies by case, not a fixed 30 days
Running threat assessments through more than one AI model can show where the models disagree, and that disagreement is often the most useful signal
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