Foundations of AI & Cybersecurity - Lesson 23: Encryption requirements

This chapter explains why AI data must be protected in all three states: in transit, at rest, and in use. It shows how each state introduces different risks, from interception and model theft to memory scraping and sensitive data exposure during inference. The key point is that secure AI depends on encrypting data across its full lifecycle, not just while it is stored.

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