Practical AI governance for threat assessment: when models disagree, log why, record the assumptions behind each call, name the person who owns the decision, and set a follow-up review sized to the case, not a fixed default
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
A plain-language look at how threat assessment teams can use AI tools without handing them the final decision
When an AI system flags someone as a possible threat, the output alone isn't enough to act on. This guide covers a practical governance workflow for threat assessment teams
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