This article presents a least-privilege AI Agent Gateway that controls how agents access infrastructure. Every request is validated, authorized, and executed in isolated, short-lived environments.

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A reference architecture for an AI Agent Gateway that enforces least-privilege access between autonomous AI agents and infrastructure systems. The design uses Model Context Protocol (MCP) for tool discovery, Open Policy Agent (OPA) for policy-as-code authorization, and ephemeral Kubernetes runners for isolated execution. Every agent request is validated, authorized against RBAC rules, integrity checks, safety guards, and change windows before being queued for execution in a short-lived namespace that is torn down after completion. OpenTelemetry provides observability across all stages. The article includes a working TypeScript/Python/Rego reference implementation, risk mitigation strategies, operational SLOs, and guidance on scaling the pattern to enterprise environments with stronger isolation, signed artifact catalogs, human approval workflows, and multi-region policy enforcement.

Building a Least-Privilege AI Agent Gateway for Infrastructure Automation with MCP, OPA, and Ephemeral Runners