LogRhythm introduces User and Entity Behavior Analytics (UEBA) product

Wednesday December 20, 2017 0 comments Tags: Boulder, LogRhythm, UBEA, Chris Brazdziunas, Matt Winter

BOULDER -- LogRhythm, The Security Intelligence Company, announced it has entered the User and Entity Behavior Analytics  (UEBA) market with the introduction of LogRhythm UEBA, an independent analytics product that enhances the security of environments for customers that wish to augment a non-LogRhythm SIEM or introduce a standalone UEBA product if there is no formal SIEM in place.LogrhtyhmlogoUSEFINAL

LogRhythm said its UEBA offering applies both machine learning-based behavioral analytics and real-time scenario-based threat detection to provide complete coverage in detecting user-based threats.

These capabilities are combined within LogRhythm’s integrated workflow for detection and response, providing a highly efficient solution in recognizing and mitigating user-based threats.

Based on advanced analytics of user behavior, LogRhythm UEBA provides increased security coverage with minimal investment for security professionals in enterprise and SME organizations who need protection from insider threats, compromised accounts, admin abuse and other user-based threats.

“Organizations are under siege by an ecosystem of threat actors, from motivated insiders to well-armed nation-states,” said Chris Brazdziunas, LogRhythm VP of products.

“Meanwhile, many security teams face significant obstacles securing qualified personnel to combat these threats. These challenges are sometimes heightened by organizational pressure to relax controls to unlock business productivity.

“UEBA arms organizations to detect and respond to user-based threats. Analysts are provided evidence-based starting points for investigation, rich visualizations for effective analysis, and direct access to data for rapid response.”

LogRhythm said its UEBA is distinct in the marketplace because, unlike other UEBA point solutions that use limited analytical methods, LogRhythm's UEBA detects known and unknown threats via in-depth analytics, applying machine learning and scenario analytics to quickly surface and prioritize critical events.

LogRhythm’s UEBA also employs cloud-based analytics that can evolve over time, taking into account feedback from customers to hone accuracy.

LogRhythm said its UEBA collects threat training data from the whole of an organization’s activity and across its extended customer footprint. Collecting feedback from a global set of SOC analysts and incident responders makes the product smarter and faster.

Additionally, LogRhythm provides customers with a library of field-proven user-based threat scenarios that operate in coordination with ML-observed activities to corroborate security relevancy for greater precision in identifying threats.

“A significant number of large enterprises are replacing their legacy SIEMs with LogRhythm’s next-gen platform, but not every organization is able to do that today,” said Matt Winter, LogRhythm’s VP of marketing and business development.

“With LogRhythm UEBA, customers that aren’t yet ready for full replacement no longer have to settle for an unproven and functionally limited ‘SIEM helper’ or similar point product to get more value out of their existing SIEMs.

“Instead, LogRhythm now offers them a full-featured solution that’s architected to scale, can seamlessly grow with them as their needs evolve and has been repeatedly proven in large global deployments.”