Databricks has become central to analytics, AI, and machine learning for data-driven enterprises. As adoption accelerates, so do identity and access risks, especially with the rise of AI Agents, service principals, workspace-level permissions, and increasingly complex entitlement models.
To address this problem, SailPoint has released an out-of-the-box Databricks Connector for SailPoint Identity Security Cloud, bringing comprehensive identity governance to one of the most critical platforms in the modern data stack.
Databricks environments are no longer just data platforms they are execution layers for AI, automation, and business-critical decisioning. Yet, many organizations still lack:
This connector closes that gap by bringing Databricks fully into your identity security strategy.
The connector provides deep visibility across both account and workspace layers:
This ensures a single source of truth for identities and entitlements across Databricks.
Organizations can now:
All access decisions are now auditable, explainable, and compliant by design.
From joiner to mover to leaver scenarios:
This ensures that access is always aligned with business roles—no more manual drift or orphaned access.
A key innovation in this release is support for modern identity types:
With the ability to enable aggregation of Databricks agents, organizations can now extend governance to AI-driven and automated entities—a critical requirement in the era of autonomous systems.
The connector is designed to work seamlessly with:
This ensures enterprise-grade scalability and flexibility, even in complex deployments.
If you’re already using Databricks, now is the time to bring it under governance. If you’re building AI-driven systems, this integration ensures you do so securely, compliantly, and at scale.
To ask questions and learn more please visit the Developer Community.