This guide outlines best practices for securing AI workloads deployed on GCP using Palo Alto Networks' Cortex XDR, CN-Series firewalls, and Prisma Cloud. It focuses on a Zero Trust architecture to protect AI pipelines, including training, inference, and data preprocessing stages. Security controls span workload isolation, identity and access management, API security, and egress traffic filtering. Key components include container runtime protection, network segmentation, threat detection, and compliance enforcement. A diagram illustrates a secure reference architecture using GKE and Cloud Run, showing Prisma Cloud integration at each layer of the AI deployment stack.

Join for free to read