Secure Data Lifecycle

This lesson examines how organizations secure data throughout its entire lifecycle within AI environments. Learners will explore how data is collected, stored, processed, transmitted, retained, and ultimately deleted while maintaining confidentiality, integrity, and availability. The lesson covers encryption, access controls, secure processing techniques, retention policies, audit logging, and lifecycle governance practices that help organizations protect sensitive information and support compliance requirements across modern AI systems.