Securing Agentic AI on Databricks: From Experimentation to Enterprise Grade Systems

Agentic AI systems—where LLM-powered agents plan, reason, and act across data and tools—are rapidly moving from proof-of-concept to mission-critical production. However, this shift introduces a new security surface: autonomous decision-making, dynamic tool use, and data access at scale. How do you innovate without compromising security, governance, or compliance?In this session, we explore how to build secure, enterprise-ready agentic systems on Databricks. Designed for practitioners and architects, we break down the unique risks of agentic workflows and map them to concrete controls. We will introduce the Databricks Agentic AI Security Framework developed with top researchers from OWASP, NIST, and Fortune 100 companies.Key Takeaways:

• Reference architectures for deploying secure agentic AI at scale.
• A framework to operationalize and explain your security posture to cyber teams.
• Actionable tools, including a worksheet and live demo, to test your deployments and MCP security.