UBA, ITM and Enterprise DLP

User Behavior Analytics, or UBA, is one of the most important developments in digital data protection to emerge in the past several years.

UBA is an advanced cybersecurity process designed to detect insider threats, primarily those connected to targeted attacks, financial fraud, and especially data exfiltration.

By analyzing regular patterns of user behavior, UBA systems can automatically spot anomalies that indicate potential threats to network data. In this way, UBA addresses one of the fundamental challenges facing cybersecurity platforms. These systems collect and provide so much information that it is often near impossible spot activity that actually constitutes a threat. UBA allows systems to hone in on the real dangers through advanced analytics.

The area of network security most affected by UBA has been the field of Data Loss Protection (DLP). UBA allows DLP to go beyond monitoring data channels. Today, companies tap into behavioral analytics to categorically enhance features built into commonly used data loss prevention software.

The Most Advanced DLP, Plus Behavior Analytics

GTB’s X-UBA functions bring user behavior analysis to the most advanced AI-powered intelligent DLP in the world.

The X-UBA suite comes with a wide range of high-level capabilities including targeted risk monitoring which can zoom in on a specific division, computer group, and even a single hostname ensuring results are pertinent to an identified risk area. The system also provides both off sight and on-premises monitoring of user activity (down to the user level) ensuring that even a remote workforce (WFH) will not present a data loss threat. 

X-UBA will monitor all external device activity such as USB attachments and flag any potentially threatening commands such as Read, Write, Move, Delete, Copy, or Attach. Other advanced capabilities include GTB’s Optical Character Recognition (OCR) which enables detection of data in printed form.

Perhaps the biggest advantage of the X-UBA system is the classification model used to organize user activity threats. The three-layered system includes system and user-based classification as well as a combination of both. The system seamlessly maps DLP policies to classification levels and is able to organize files and emails based on these classification settings.

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