Foundations of AI & Cybersecurity - Lesson 26: Scenario on Data Safety

This scenario lesson with the Automate Corporation example explains why enterprise AI security depends on five foundational data controls working together: anonymization, classification, redaction, masking, and minimization. It shows how each control addresses a different part of the data risk problem, from protecting identity and sensitive content to reducing unnecessary exposure in development and production. The main lesson is that trustworthy AI starts with securing data before the model ever has a chance to learn from it.