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Dtex Systems Awarded Bronze in the 2017 Golden Bridge Awards

Company’s Award-Winning Advanced Enterprise DMAP Intelligence Platform Honored for Protection Against Insider Threats

SAN JOSE, CA – Aug 28, 2017 – Dtex Systems™, a leader in user behavior intelligence and insider threat detection, announced today that the company was awarded Bronze in the Best Product or Service of the Year – User Behavior Analytics (UBA) category from the 9th annual Golden Bridge Awards. The Golden Bridge Awards honor the contributions of organizations across the world who are trying to provide the best products and services to their customers.

Dtex’s Advanced Enterprise DMAP Intelligence Platform was honored for its ability to combine endpoint-based user visibility with adaptive analytics to detect and fight data breaches, insider threats and outsider infiltration, while also maintaining user privacy. The Platform pinpoints threats with greater accuracy than traditional security products while avoiding lock-and-block methods used by other vendors that adversely impact user productivity and privacy.

“Recognition by the Golden Bridge Awards is a testament to Dtex’s continued efforts to ensure organizations are equipped with the visibility and intelligence needed to detect and prevent data breaches,” said Christy Wyatt, CEO, Dtex Systems. “The insider poses the greatest threat to any organization whether they are vulnerable targets to malicious actors or negligent about putting their organizations in harm’s way. Dtex is devoted to protecting its customers by delivering advanced user behavior intelligence capabilities to mitigate security problems before they lead to major losses.”

About Dtex Systems

Dtex Systems arms enterprises across the globe with revolutionary technology to protect against user threats, data breaches, and outsider infiltration. As the only solution combining unparalleled endpoint visibility with advanced analytics, Dtex is able to pinpoint threats with greater accuracy than traditional security methods without adversely impacting user productivity.