Foundations of AI & Cybersecurity - Lesson 31: Analyze Model Behavior

This module explains why model response confidence is a critical security and governance control, not just a technical metric. It shows how calibrated confidence scores help detect hallucinations, support risk-based routing to humans, and provide audit evidence for high-impact AI decisions. The core lesson is that trustworthy AI depends not only on what the model says, but on knowing how sure it is when it says it.

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