Kong AI Gateway 2.0 Unifies Security Across GKE, Cloud Run, and Vertex AI

Kong has released AI Gateway 2.0, designed to enforce uniform authentication, observability, and cost governance across fragmented Google Cloud compute environments including GKE and Cloud Run. The platform addresses a growing challenge for enterprises that simultaneously run stateful microservices on Kubernetes and serverless APIs on Cloud Run alongside AI workloads. Unlike traditional API gateways built for deterministic request-response traffic, Kong AI Gateway 2.0 treats AI models, agents, and Model Context Protocol servers as first-class control plane entities. It introduces token-based rate limiting, semantic prompt inspection, and dynamic tool governance to handle non-linear, agentic traffic patterns. The gateway decouples configuration from the data plane, allowing runtime operations to scale independently across private networks without duplicating security stacks.
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