The AI Governance Journey: Securing Data, Models and Agents

This session explores how to centrally govern the entire AI lifecycle on Databricks — from experimenting with models to deploying production-grade agents. It will cover managing access to AI models with Mosaic AI Gateway, applying usage tracking, auditing, rate limits and AI guardrails for safe and compliant usage. It'll also cover how Unity Catalog integrates seamlessly throughout the process, enabling lineage tracking, granular access controls and the secure monitoring of model performance and data quality.