Foundations of AI & Cybersecurity - Lesson 25: Data Safety

This module explains the five foundational data safety controls every AI system needs: anonymization, classification, redaction, masking, and minimization. It shows how these controls work together to prevent models from memorizing, exposing, or misusing sensitive information. The core point is that safe AI starts with controlling the data before it is ever ingested.

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