Perforce Software has announced the general availability of Delphix Compliance Services, a new AI data compliance product natively integrated into Microsoft Fabric pipelines. Designed to automate data privacy across more than 170 data sources, the solution enables data engineering and analytics teams to deliver high-quality, compliant data at scale without sacrificing speed or innovation.

“One of the biggest challenges CIOs and CISOs face today is protecting sensitive data in AI model development without slowing down innovation or impacting the quality and accuracy of these models,” said Steve Jezierski, General Manager at Perforce. “Perforce Delphix is positioned to assist with this challenge due to our longstanding and deep expertise in masking sensitive data for the largest global enterprises. Fortune 100 companies in the most stringently regulated industries, such as financial services and healthcare, trust Delphix to protect their data assets.”

The announcement coincides with FabCon 2025, where Perforce is a Platinum sponsor and will showcase the solution in collaboration with PreludeSys at booth #211. The release includes pre-integration with Microsoft Fabric Data Factory and PowerBI, offering native protection for sensitive data across Azure, Fabric Lakehouse, Fabric Warehouse, Databricks, Snowflake, and more.

Key features of Delphix Compliance Services include:

• Automated sensitive data discovery and irreversible masking across 170+ data sources.
• Petabyte-scale data masking performance, capable of securing up to 4 billion rows per hour.
• Referentially intact, fictitious data that supports accurate, compliant AI model training and analytics.

The next phase of the partnership will deepen Delphix integration with Microsoft Fabric through a dedicated Fabric Connector, allowing native discovery and masking of sensitive data for AI and analytics.

Perforce and PreludeSys will offer live demos and sessions at FabCon 2025, highlighting how organizations can accelerate their AI and analytics initiatives in Fabric while maintaining data privacy and regulatory compliance.