Model Registry & Feature Store Security

This lesson explores the security and governance controls required to protect model registries and feature stores within modern AI environments. Learners will examine how these repositories support machine learning operations, why they represent high-value targets, and how organizations secure them through access controls, encryption, lineage tracking, monitoring, and governance processes. The lesson emphasizes the importance of protecting AI assets throughout their lifecycle while maintaining trust, traceability, and operational integrity.