Agentic AI is rapidly changing how organizations build and manage data security. From generating masking policies and access controls to automating governance workflows, today’s AI-powered platforms can dramatically accelerate implementation and reduce administrative effort.
But speed is not the same as security.
As organizations adopt AI-assisted governance across Snowflake, Databricks, Microsoft Fabric, and other modern data platforms, security leaders face a new challenge: ensuring the controls generated by AI remain deterministic, auditable, accountable, and compliant. In this session, we’ll separate productivity from security, explore the limitations of AI-generated security controls, and discuss what a defensible data security program should look like in an AI-driven world.
What You’ll Learn
- Where AI-generated access controls deliver real value and where it falls short
- The six questions every security leader should ask before trusting AI-generated controls
- Why auditors care more about ownership and evidence than how the policy was created
- The governance capabilities AI assistants can’t replace
- How leading organizations are combining AI productivity with enterprise-grade governance
Speakers
Carl Wolf
Director of Product Management
