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Customer stories

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Censornet adds value to their cybersecurity solution by embedding OpenText™ File Content Extraction and OpenText™ Knowledge Discovery Eduction for data extraction and categorization

Censornet logo

About Censornet

Censornet's autonomous, integrated cloud security empowers mid-market organizations with enterprise-grade protection. It offers email, web, cloud application security (CASB), and identity solutions for robust cyber protection.
censornetabout image
  • Population served:
    Millions of users across the world
  • Number of customers:
    More than 2,500
  • Threats processed:
    More than one billion per day

Summary

Challenges

  • Needed to enhance cybersecurity with advanced data identification and classification.
  • Managing diverse data formats, file types, and global data compliance.
  • Required efficient and rapid data extraction.

Solution

  • Enhanced data protection and ensured regulatory compliance for comprehensive cybersecurity.
  • Enabled fast data extraction and classification.

Results

  • High performance solution with efficient and speedy data processing capabilities
  • Sensitive data coverage (PII, PCI, PHI) for wide range of file types
  • Seamless integration and development with KeyView SDK

Challenges

  • Needed to enhance cybersecurity through advanced data identification and classification
  • Managing diverse data formats, file types, and global data compliance
  • Required an efficient and rapid data extraction solution

Sophisticated data analytics key to robust cyber resilience

With 100 percent annual projected growth and a class-leading Net Retention Rate, Censornet prides itself on understanding the threats before they hit, always keeping its clients ahead of the game. But what is the underlying technology that enables classification of multiple data formats and supports a wide range of file types with speedy identification and extraction? All while keeping Censornet’s clients’ sensitive data protected without sacrificing performance?

Richard Walters, CTO for Censornet, explained, “With attacks at record levels and rising, we need to provide advanced data extraction and classification capabilities to help our plat¬form identify sensitive data in transit and block actions in real-time (such as upload, send, at¬tach, transfer) based on DLP policies set cen¬trally. We require support for a wide range of file formats and the ability to handle sensitive data from various countries, such as personal identifiable information (PII), payment card in¬dustry (PCI) data, and personal health informa¬tion (PHI). Having looked at building in-house analytics solutions, we soon realized the need for a more sophisticated, comprehensive, ef¬ficient, and faster approach to best serve the mid-market.”

We found OpenText File Content Extraction [IDOL KeyView] SDK to be the perfect solution to fulfil our requirements. We can focus on core product value while delivering embedded, comprehensive data extraction, classification, AI, and analytics to our clients.

Richard Walters
CTO, Censornet

Solution

Censornet enhanced its cybersecurity platform with OpenText™ File Content Extraction and OpenText Knowledge Discovery eduction, enabling lightning-fast data extraction and categorization to combat cyber threats effectively.

Products deployed

  • OpenText™ File Content Extraction

    OpenText File Content Extraction is a powerful data conversion and extraction tool specializing in unlocking information from various file types and formats

  • OpenText™ Knowledge Discovery

    The OpenText Knowledge Discovery eduction engine is a flexible, embeddable software component which finds and extracts sensitive data using high performance natural language processing

Enhancing data protection and ensuring regulatory compliance

A thorough analysis of available solutions revealed OpenText™ File Content Extraction as a game-changing technology. The filter software development kit (SDK) extracts text and metadata from a variety of file formats on many platforms. This capability gives Censornet real-time and strategic data extraction and classification with AI data analytics providing deep insights into the data to effectively boost competitive advantage and deliver enterprise-grade features to their mid-market clients. OpenText™ File Content Extraction identifies file types accurately, including non-existent or ambiguous MIME types, enabling precise downstream routing and processing decisions.

The OpenText Knowledge Discovery eduction engine allows for the identification of sensitive data and other entities of interest, supporting legislative and regulatory compliance and policies. It can also redact sensitive content in text, images, audio, and video. This reduces risk, development costs, and ongoing maintenance, while speeding up time to market. "We found OpenText™ File Content Extraction SDK to be the perfect solution to fulfil our requirements,” said Walters. “We can focus on core product value while delivering embedded, comprehensive data extraction, classification, AI, and analytics to our clients."

Enabling fast data extraction and classification

Walters continued, “We’ve been impressed by the ease of embedding OpenText™ File Content Extraction in our solution. It effectively identifies and extracts sensitive and high-value data such as PII, PCI data, and PHI from structured, semi-structured, and unstructured data using high performance natural language processing. OpenText™ File Content Extraction delivers powerful data extraction capabilities with support for over 1,750 formats across all major client and server-side platforms. And great news for our clients: it does all this with lightning speed, maintaining the performance of our platform.”

Working with OpenText and OpenText File Content Extraction [IDOL KeyView] is a pleasure. Despite not being data experts, we swiftly integrated the OpenText File Content Extraction [IDOL KeyView] SDK into our Censornet platform, providing advanced data extraction, classification, and AI analytics.

Richard Walters
CTO, Censornet

Results

By integrating OpenText™ File Content Extraction, Censornet bolstered data protection, enhanced classification, and ensured swift data processing, ultimately strengthening its competitive edge in the cybersecurity landscape.

Gaining a competitive advantage with easy market expansion opportunities

Censornet’s ambitious growth plans call for an easy to implement and scalable solution so that new and emerging markets can be accessed quickly. Leveraging OpenText File Content Extraction allows Censornet’s engineering focus to be squarely on delivering new features fast without compromising data extraction and classification quality or performance. The integration of KeyView into Censornet’s platform provides an extension to their own engineering team, resulting in a clear competitive advantage.

Walters concluded, “An ethos of ‘think quick, move quick’ is central to our culture so we can innovate at pace and with agility. Working with OpenText and OpenText™ File Content Extraction is a pleasure. Despite not being data experts, we swiftly integrated the OpenText™ File Content Extraction SDK into our Censornet platform, providing advanced data extraction, classification, and AI analytics. This allows us to discover and extract sensitive and high-value data at lightning speed, while continuing to secure our clients’ data and protect our customers more effectively. Our focus is on allowing our customers to run their business without worrying about cybersecurity. We feel the same about OpenText’s OpenText™ File Content Extraction solution: it enables us to focus on our core competencies while leveraging exceptional data extraction and classification and advanced analytics capabilities that are now an integral part of our platform.”

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