Foundations of AI & Cybersecurity - Lesson 41: Determining Root Cause and Evidence Strength

This module explains how to investigate AI security incidents by determining root cause before jumping to mitigation. It covers key tasks such as timeline reconstruction, prompt correlation, telemetry review, RAG inspection, tool invocation analysis, identity mapping, and evidence strength classification. The core message is that good AI security response depends on facts, correlation, and confidence in the evidence.

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