For years, Gartner’s Magic Quadrant report on Enterprise Data was the industry standard for rating industry tools on data loss protection.

The report assesses the competing players in the major technology markets and details how they’re positioned to help companies with the most pertinent IT challenges. 

But in 2017, something interesting happened. Gartner discontinued their Magic Quadrant report of DLP. From then until this very day, DLP is covered by a separate Market Guide report.  

What caused this shift?

Well according to Gartner analysts, the DLP industry had reached a plateau over the past several years and was no longer yielding the dynamic approaches needed by modern companies. In a 2018 paper, the firm wrote that “many in the market overstate the simplicity of deployments, the level of out-of-the-box accuracy in identifying content and visibility, and the control over all applications.” As the paper concluded, this combination of overly complicated platforms and lack of delivery–both fueled by an inability to understand enterprise data needs–has created a bleak scenario: “organizations continue to struggle with DLP deployments” and are unable to integrate DLP into a broader “security context.” 

This assessment merely confirms the message we at GTB have been warning about for years. The inaccuracy of detection and complexity of traditional tools will render them non-viable options for firms looking to operate in the fast-past, data-saturated business environment of today. 

This is why GTB insisted on making things different.

GTB’s Data Protection that Works platform offers a modularized approach to data loss protection. This means that companies are able to integrate the system into their current toolset seamlessly and without disrupting the operational flow. Taking a common business platform as an example, Microsoft Office 365, the cloud-based system easily incorporates GTB’s Cloud DLP adding advanced features including fingerprinting, watermarking, and image analysis (OCR), all in one short set up. Typical deployed time takes a mere 30 minutes. A typical implementation is up and running in less than 30 minutes.

GTB also makes data loss protection functional for companies by providing super accurate detection. Using artificially intelligent algorithms, GTB hones in on potentially compromising activity by learning a system and understanding the unique behavior of the network. This not only produces super accurate threat detection but essentially eliminates false positives, which means the IT department is no longer spending countless hours chasing its own tail. 

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