Foundations of AI & Cybersecurity - Lesson 32: Scenario on Analyzing Model Behavior

This scenario example explains how AI confidence must be turned into an operational control, not left as a background metric. It shows how calibrated confidence scores, risk-based thresholds, logging, and human review workflows help organizations decide when AI can proceed, when it must escalate, and when it should stop. The key lesson is that trustworthy AI requires confidence to be measured, governed, and enforced across the enterprise.

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