Vertex AI pipelines face multiple security threats including data poisoning, model theft, and API abuse. This guide demonstrates how to build layered defenses using Google Cloud's native security tools: IAM for access control, DLP for PII detection, VPC Service Controls for network isolation, Artifact Registry for model
Table of contents
Why securing Vertex AI pipelines mattersSecurity layers for Vertex AI workloadsStep-by-step: Securing Vertex AI models on GCPVertex AI Security ChecklistConclusionSort: