How the AI Gateway Actually Works (And How to Get Started)
Most enterprises now have agents and assistants that need governed access to Salesforce, SAP, Snowflake, and the dozens of systems behind them. An AI gateway sits between those agents and your data, handling connectivity, identity, and policy in one place. This session explains what a gateway does, where it fits in your architecture, and what changes for your team once it's there.
On November 5, join Foundations for AI, a virtual event where Mike Albritton, SVP of Cloud, and Amit Naik, VP of AI Architecture at CData, break down the gateway piece by piece in our session, Inside the Gateway: Architecture, Components, and Getting Started. They'll cover:
Enterprise MCP: how agents get live access to hundreds of data sources
Governance: what each agent can see and do, and who decides
Cost controls: keeping usage predictable at enterprise scale
Interoperable architecture: the foundation that holds it all together
And, they'll close with a walkthrough of practical tips to get started: connect your systems, set your policies, and put your first agents to work.
The AI Gateway Opportunity
The Context Engine
The CIO Perspective: Rolling Out AI at Anaqua
CData Labs: Testing the Gateway in the Open
CData on CData