Case Study: Censornet achieves lightning-fast sensitive data extraction and enhanced DLP with OpenText IDOL KeyView

Censornet - Customer Case Study

Censornet, a UK-based cloud security provider serving mid-market customers with email, web, cloud application and identity protection, needed to strengthen its platform against rising cyberattacks by adding fast, accurate identification and classification of sensitive data. Facing requirements for real-time DLP actions (block uploads, sends, transfers), support for hundreds of file types and international sensitive data categories (PII, PCI, PHI), and a desire to avoid costly in-house development, Censornet sought a mature, high-performance analytics solution.

Censornet embedded OpenText IDOL KeyView SDK and IDOL Eduction to extract text and metadata from 1,750+ formats, accurately identify file types, classify and redact sensitive content, and apply AI analytics at high speed. The integration delivered comprehensive DLP coverage across data types and countries, reduced development and maintenance overhead, accelerated time-to-market, preserved platform performance, and gave Censornet a scalable competitive advantage for rapid market expansion.

Censornet

Richard Walters

Chief Security Strategist