At the Databricks Data + AI Summit 2025, OneTrust unveiled an expanded partnership with Databricks, introducing a new Data Policy Enforcement integration that automates real-time governance for AI and data operations. This collaboration addresses a growing challenge in data governance: enforcing privacy and compliance rules without slowing down AI-driven innovation.
The integration leverages Databricks’ Unity Catalog to programmatically enforce machine-readable policies across data platforms, ensuring that data governance teams can maintain control at the speed modern AI requires. With this solution, organizations can automatically apply consent-based row filtering, role-based column masking, and enforce policies across diverse platforms and data workflows.
“OneTrust is solving the enforcement challenge for both data and compliance teams by turning regulatory, privacy, and compliance requirements into machine-readable policies that can be enforced in real-time,” said Blake Brannon, Chief Innovation Officer at OneTrust. “Together, OneTrust and Databricks enable organizations to unlock innovation while maintaining continuous compliance and reducing risk.”
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This capability is especially vital for sensitive use cases. For example, when an AI model requests credit data, the system can automatically restrict access to protected attributes like race or gender and apply real-time controls to prevent regulatory breaches.
Roger Murff, VP of Technology Partners at Databricks, added, “By combining OneTrust‘s pioneering automated data policy enforcement with the powerful Databricks Data Intelligence Platform, we’re bridging the enforcement gap for AI-ready data.”
As organizations accelerate their AI and analytics initiatives, this integration empowers them to do so responsibly—balancing innovation with robust, scalable compliance.