Taking AI from pilot to production at scale is one of the hardest challenges organizations face today — and the biggest barrier is secure data provisioning.
In this video, Alan Clarke, Senior Solutions Architect at Immuta, demonstrates how to build safe, scalable AI governance frameworks that protect sensitive data while enabling innovation.
What you’ll see:
- Why organizations struggle to move agentic AI use cases into production
- A step-by-step approach to identifying sensitive vs. non-sensitive data
- How to define roles, responsibilities, and governance policies for AI agents
- How to enable audit, reporting, and monitoring for AI-driven workflows
- A real-world loan assessment use case powered by multiple AI agents across Amazon S3 and Snowflake
See part two of this series: How to Structure Your Data for Your AI Use Case