UniDLP's data leakage prevention system utilizes data discovery and data classification to enhance data security. It incorporates technologies such as user privilege control, content identification, transparent data encryption, data isolation, secure data flow, application and peripheral management, service data access control, watermarking, and steganography. This system is designed to meet various business needs by providing data activity monitoring, data access control, data risk assessment, and data audit and traceability. Its primary goal is to prevent data exfiltration and facilitate traceability of leaked data.

Highly Precise Classification

Advanced Detection and Controls

Built-in big data engine ensures traceability


UniDLP enables defining data sensitivity by source and content, classifying data intelligently based on document format and content.


UniDLP helps customers protect data and prevent breaches with centralized control, access privilege management, encryption, computing isolation, secure data circulation, behavioral analytics, and traceability.


The big data engine supports parallel computing and horizontal scaling, high-speed storage, calculation, and analysis of massive audit data.