The AI Gateway Has to Start at the Data

CData has announced early access to Connect AI Gateway, a platform designed to govern how AI agents interact with enterprise systems by controlling model routing, tool access, identities, records, actions, costs, and audit trails from a single point. Built on CData’s existing data connectivity layer, the gateway uses source-system schemas, relationships, permissions, and business rules to improve AI accuracy and enforce record-level governance, with the company citing a study in which Connect AI achieved 98.5% accuracy compared with 65% to 75% for other MCP providers. Its architecture combines LLM and MCP gateways, security policies enforced under user identities, a context engine that unifies system metadata, company documentation, and approved institutional knowledge, and live connections to SaaS platforms, databases, warehouses, and on-premises systems. CData argues that direct, governed connections enable agents to retrieve more efficient answer sets, reduce model-token costs, maintain consistent definitions across multiple AI models, and trace outputs or actions back to the associated prompt, model, tools, records, and policies.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.