Google Professional Cloud Security Engineer

Google Professional Cloud Security Engineer

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Your organization is building a real-time recommendation engine using ML models that process live user activity data from BigQuery and Cloud Storage. New models are stored in Artifact Registry and deployed to Google Kubernetes Engine, with Pub/Sub used for message queues. Due to recent attacks targeting ML model supply chains, you must enhance the security of this serverless development and deployment pipeline. What should you do?