CData Software Launched Enterprise AI Gateway Platform
The new Connect AI Gateway enables organizations to manage agent permissions and optimize model costs in early access.
Updated on Sept. 29, 2026 in Artificial Intelligence
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CData Software Inc. has introduced the Connect AI Gateway, a platform designed to manage agent permissions, data retrieval, and audit trails for enterprise users. The product is currently available in early access for organizations looking to integrate business definitions into AI workflows.
Why it matters
As businesses struggle to secure agentic workflows, this platform attempts to bridge the gap between enterprise data governance and AI output accuracy. It addresses the need for cost control and data security by enforcing granular access policies before data reaches large language models.
In company-run testing, the gateway achieved a 98.5% response accuracy across 378 enterprise queries, compared to typical rates of 65% to 75% for other Model Context Protocol (MCP) providers. The system also manages token costs, citing a measured 175-fold price difference between available models.
The players
CData Software Inc.
A developer specializing in data connectivity and integration software that enables enterprises to access and manage structured information across various platforms.
The details
The Connect AI Gateway functions as an intermediary layer that applies governance policies to filter, join, and aggregate records before sending them to a model. A core context engine leverages existing business definitions from tools like dbt and Power BI to refine prompt input. This ensures that agent data retrieval adheres to defined row and column permissions, while the system records audit trails for every prompt, tool, and policy interaction.
Timeline
September 29, 2026: CData introduced Connect AI Gateway and launched early access.
The Tech Race
This platform follows the industry trend of adding governance layers to the Model Context Protocol, which has become the standard for connecting AI agents to external data sources. CData is positioning its gateway to differentiate itself by prioritizing security and cost management rather than just raw connectivity.
Enterprise IT teams can now sign up for the early access program to begin registering models and defining data access policies. The platform is intended to help developers reduce operational costs by automating model routing based on current token budget management settings.
The takeaway
The platform represents a shift toward treating AI agents as managed enterprise assets rather than experimental tools. Watch for future updates as the company integrates automatic model selection, which aims to further capitalize on the 175-fold price variance between different AI models.
Further reading
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