AI Gateway Control Plane: What It Does and Why It Matters

An AI gateway control plane is presented as a centralized governance layer that defines policy, identity, routing, authorization, and audit rules for AI agents accessing models and live enterprise systems, while a separate data plane processes and enforces those rules on individual requests. It supports governance through identity passthrough via OAuth or SAML, least-privilege tool and workspace access, centralized routing, and audit logs that record request metadata without necessarily retaining returned source data. The text explains that MCP can standardize agent connections to external tools and data sources, with OAuth 2.1-based authorization enabling consistent control over accessible tools, resources, and actions. It also contrasts building these capabilities in-house, which requires sustained work on authorization, connectors, logging, and specification changes, with purchasing a managed platform such as CData Connect AI Gateway, which is positioned as providing governed connectivity across many enterprise systems.

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