Proofpoint Data Security Innovations

Data security is becoming more complex. Organizations are dealing with rapid AI adoption, massive data sprawl, persistent data loss and increasing insider threats. At the same time, data volumes are growing. In the Proofpoint 2025 Data Security Landscape report, a third of respondents stated that their volume of data increased by 30% or more. Adding to the challenge, sensitive information may include a wide range of data, such as source code, financial models, research data, and intellectual property. Security teams need better visibility, improved accuracy, and faster workflows to manage the risk effectively. 

Proofpoint Data Security continues to strengthen its unified approach to information protection. Our unified solution combines content awareness, behavioral context, and automation to help organizations safeguard critical data. 

This blog highlights Q4 2025 innovations in Proofpoint Data Security. These enhancements are designed to improve accuracy, support consistent detection, and help simplify governance for data in motion and at rest.

Classify data with business context and enable consistent policies

Autonomous Custom Classifiers

Proofpoint Data Security Posture Management (DSPM) now supports Autonomous Custom Classifiers (ACCs). These AI classifiers automatically generate organization-specific document categories to identify and protect sensitive data unique to your organization. The meaning of “sensitive” varies based on an organization’s industry, regulatory requirements, and maturity. Therefore, rather than relying on generic categories, custom AI classifiers focus on each organization’s crown-jewel information.

These classifiers can typically be created within a short timeframe and require minimal pre-configuration. By tailoring protection to what truly matters, they can help improve detection accuracy and reduce false positives and false negatives. This may help lower alert noise and provide security teams clearer insight and greater control over their most critical data.

Advanced Smart IDs

Advanced Smart IDs introduce highly customizable detection for alphanumeric patterns. With full regular expression support, organizations can create user-defined Smart IDs that precisely match business-specific data formats. 

An optimized Regex engine is designed for strong performance and scalability. Teams can implement precise detection logic without sacrificing speed or efficiency. The result is greater flexibility and more consistent policy enforcement. 

Unified detectors for DSPM and DLP

Proofpoint DSPM now supports the same out-of-the-box classifiers as Proofpoint DLP, including Smart IDs and pretrained AI classifiers.

With unified detectors, organizations can create data access governance and data loss protection (DLP) policies more efficiently. Protection is designed to remain consistent regardless of where data resides or how it moves. 

Improve tagging, labeling, and governance

Map DSPM data types to Snowflake tags and MIP labels
Proofpoint DSPM can now sync, map, and automatically apply Snowflake tags and Microsoft Information Protection (MIP) labels. It can perform this at both the data entity and granular profile levels. By integrating Proofpoint classifiers with native tagging and labeling frameworks, organizations can align detection with existing governance structures. 

This integration is designed to improve classification accuracy, can accelerate policy enforcement and supports compliance initiatives. It also reduces manual effort across structured and unstructured data environments. The result is enhanced governance support and improved operational efficiency.

Stay in the know

• Learn more about Proofpoint Data Security and how these innovations help protect critical data.
• To stay up to date on the latest enhancements, watch our quarterly webinar series, Proofpoint Innovations: Defend Data.