2022 Market Guide for Data Loss Prevention (DLP)

Industry thought leader Gartner recently published its July 2022 Market Guide for Data Loss Prevention (DLP)[i].

In the thirteen-page report, Gartner laid out the most pressing needs of business networks, the data security challenges they face, and the most effective solutions.

Problematic Trends

The researchers first turned to the more problematic trends among IT managers. The report pointed to DLP initiatives that are disconnected from the enterprise’s “specific initiatives or goals”. Many companies that take on a DLP platform are betting on it being a one-size-fits-all that will automatically fix whatever data issues they face and seamlessly integrate with business priorities.

Next, the report turned to the persistent shortcomings in DLP products. In short, vendors tend to focus on conventional and data-specific content and outdated inspection methods, which lead to “incident fatigue” and a myopic view of data movement.

Finally, Gartner highlights the consistent migration to cloud-based data platforms for which many legacy DLP products are incompatible and “no longer viable.”

Market Guide Recommendations

In its recommendations, Gartner calls for a significant shift in approach to DLP deployment.

At the outset, Security and Risk (SRM) administrators must define their DLP based on the unique needs of the business and then locate solutions that address those needs.

Gartner also calls for companies to move away from solutions that use traditional detection methods and Invest in a DLP platform that provides “visibility, classification, and context-[based]” responses.

To address the growing dominance of cloud-based programs and infrastructure, Gartner also urges companies to seek out platforms that can operate “across a hybrid environment.”

All of Gartner’s Recommendations = Standard Features of GTB’s Enterprise Data Security / DLP Platform

GTB is an Enterprise Data Security / DLP platform  designed with Cloud Access Security Broker (CASB) features, making it fully compatible with hybrid data environments.

The platform takes a multi-pronged approach with Secure Access Service Edge (SASE), Insider Threat and Risk Management, Endpoint Protection Platform (EPP), Data Discovery and Data Classification capabilities, resulting in a platform that accurately and automatically detects attempted data breaches while providing an automatic response.

GTB’s AI-powered algorithms ensure the program addresses signature patterns, allowing it to hone in on the unique security and data protection challenges it faces.   

[i] Gartner, Inc. | G00755250 Market Guide for Data Loss Prevention

Published 19 July 2022 By Analyst(s): Ravisha Chugh, Andrew Bales Initiatives: Security of Applications and Data

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