Ensuring Data Privacy and Security in AI Through Zero Trust Principles

This chapter emphasizes the critical importance of protecting sensitive telemetry data in AI systems, addressing privacy and accuracy in data processing. It explores the use of local proxy services and retrieval augmented generation (RAG) technology, along with the principles of Zero Trust within a Unified SASE architecture for enhanced security.