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

A OpenText Case Study

Preview of the Censornet Case Study

Censornet adds value to their cybersecurity solution by embedding OpenText™ IDOL™ KeyView™ and IDOL Eduction for data extraction and categorization

Censornet is a UK-based cloud security provider that delivers email, web, CASB and identity protection for mid-market organizations. Facing rapid growth and rising attack volumes, the company needed advanced, high-performance data extraction and classification to identify sensitive data (PII, PCI, PHI) across hundreds of file types in transit and enforce real-time DLP controls—without degrading platform performance or building a costly in-house analytics stack.

Censornet embedded OpenText IDOL KeyView and IDOL Eduction via the KeyView SDK to extract text/metadata, identify file types, detect and redact sensitive entities, and apply AI-driven analytics across 1,750+ formats. The integration delivered lightning-fast processing, stronger data protection and compliance, reduced development overhead, faster time to market, and a scalable competitive advantage for market expansion.


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Censornet

Richard Walters

Chief Security Strategist


OpenText

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