Similar Gateway, Different Decade

CData announces Connect AI Gateway, a platform designed to govern interactions between enterprise AI agents, employees, models, and business data by combining model and MCP gateway capabilities with routing, guardrails, observability, policy controls, and end-to-end identity management. Drawing a comparison to the evolution of SD-WAN, the announcement argues that centralized visibility and control are necessary to address growing AI costs, security risks, reliability concerns, and accountability requirements. Built on CData’s existing connectivity to enterprise systems, the gateway is intended to compute answers through source-aware data layers rather than expose raw records to models, which CData says improves accuracy, reduces context sent to models, lowers token costs, and speeds responses. The company also emphasizes delegated user identities, source-system permission enforcement, validated writes, detailed audit trails, and spend attribution. CData plans to expand the platform with more intelligent workflow routing, natural-language policy creation, deeper organizational context, and integrations with security, identity, and observability providers, positioning the gateway as a layer for responsible enterprise AI transformation.

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