About This Architecture

GCP Secure Enterprise AI Platform orchestrates multiple specialized agents (customer service, data analysis, code assistance) through Vertex AI Agent Builder, each routing to dedicated model endpoints including Gemini Flash and custom fraud detection models. External traffic flows through Google Cloud Global External Load Balancer, Cloud Armor WAF/DDoS protection, and Cloud CDN, while Cloud IAM enforces least-privilege access and Cloud Monitoring tracks all operations. Backend services integrate BigQuery, Cloud Storage, Cloud Spanner, and Cloud Memorystore for data warehousing, document management, transactional consistency, and caching, with Cloud Pub/Sub and Cloud Dataflow enabling real-time event streaming and processing. A VPN tunnel securely connects on-premises corporate networks to the platform, ensuring hybrid-cloud compliance and data residency requirements. Fork this diagram to customize agent types, add regional failover, or integrate additional Vertex AI services for your enterprise AI workloads.

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How do I architect a secure multi-agent AI platform on GCP with Vertex AI that integrates with on-premises networks?

This diagram shows a GCP enterprise AI platform where Vertex AI Agent Builder orchestrates specialized agents (customer service, data analysis, code assistance) behind Cloud Armor WAF/DDoS protection and Global External Load Balancer. Backend services use BigQuery for analytics, Cloud Spanner for transactions, Cloud Storage for documents, and a VPN tunnel connects on-premises corporate networks se