Where AI Governance Is Headed: Best Practices for Unifying Data, Models, and Agents

AI is shifting from single models to multi-agent systems, and governance must evolve with it. Traditional approaches break down when agents dynamically access data, tools, APIs, and multiple AI models across platforms.

In this session, Databricks and Thoughtworks introduce a unified approach to AI governance built on a data-centric foundation. Learn how to extend governance from data to models, agents, and tools using Unity Catalog, consistent identity-based controls, and end-to-end observability.

We’ll explore where AI governance is headed, including multi-AI governance with Unity AI Gateway, open and interoperable controls across frameworks, and real-time monitoring to detect risk and manage cost.

Thoughtworks will share architectural principles for building governed agentic systems at scale. Walk away with a clear path to move fast with AI without losing control.