Show: Governing AI Agents on GCP — GKE, Vertex AI, Workload Identity Bridge #940
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Govern Your AI Agents on GCP — GKE, Vertex, Workload Identity
The Agent Governance Toolkit runs natively on Google Cloud with zero vendor lock-in. Here's the full integration surface.
🏗️ Deploy on GKE in 4 Steps
The deployment YAML runs AGT as a sidecar alongside your agent pod — same pattern as Istio. Full config in the GCP GKE deployment guide.
🤖 Govern Google ADK Agents
AGT includes a native Google Agent Development Kit (ADK) adapter. Wrap your ADK agent's tool calls with policy evaluation:
The full Google ADK governed example shows trust-gated tools, capability scoping, and audit trails with ADK agents.
🔑 Workload Identity ↔ DID Bridge
The
GCPManagedIdentityAdaptermaps AGT agent DIDs to GCP Workload Identity. Governed agents acquire GCP tokens using their mesh identity — no service account key files:📊 Enterprise GCP Stack
📚 Full Docs
pip install agentmesh-platformAGT is pure Python, MIT licensed, and cloud-agnostic by design. It works identically on GCP, AWS, and Azure. Try it out and share your feedback! 🚀
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