13 May Niara Named a Cool Vendor in 2016 User Entity Behavior Analytics (UEBA), Fraud Detection and User Authentication by Gartner
Vendors selected for the Cool Vendor report are recognized as innovative, impactful and intriguing solutions addressing emerging security challenges
Sunnyvale, CA. – May 13, 2016 – Niara, a provider of security analytics for attack detection and incident response, today announced that it has been named a Cool Vendor in the 2016 Cool Vendors in UEBA, Fraud Detection and User Authentication1 report by Gartner, Inc. Key findings of the report show “technologies that respond to user behavior are increasingly prevalent in security markets, although clients must consider how to integrate products with existing technologies to identity threats and suspicious behaviors both within and outside the organization.” Additionally, Chief Information Security Officers (CISOs) and other security leaders should investigate UEBA technology to accelerate risk identification and escalation.
“We believe being recognized as a Gartner Cool Vendor further validates that Niara’s advanced user and entity behavioral analytics approach is becoming a priority for organizations looking to accelerate attack detection and response,” said Sriram Ramachandran, CEO and co-founder of Niara. “Niara’s analytics modules detect attacks and risky behaviors inside organizations, and empower security teams with advanced incident investigation and threat hunting capabilities.”
Niara’s security analytics platform leverages data from any data source within the network and security infrastructure, applying unsupervised and supervised machine learning algorithms, statistical modeling and other analytics techniques to unearth security events that get past traditional solutions. It applies comprehensive user and entity behavior analytics to create highly accurate behavior profiles for users and hosts, all working in unison to more reliably link anomalies to malicious activity. Niara’s solution combines machine learning with layered forensics for rich context, delivering a differentiated solution that enables attack detection and incident investigation without relying on rules, configuration and signatures.
Niara provides a plug and play solution that can be deployed either on-premise or in the cloud and integrates easily into their existing infrastructure to provide advanced security insights.
1Gartner “Cool Vendors in UEBA, Fraud Detection and User Authentication, 2016” by Andrew Walls, Brian Reed, Avivah Litan, Sandy Shen and Craig Lawson, May 2, 2016
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Niara’s security analytics platform automates the detection of attacks and risky behaviors inside an organization and dramatically reduces the time and skill needed to investigate and respond to security events. The solution applies machine learning algorithms to data from the network and security infrastructure to detect compromised users, entities, and negligent or malicious insiders, reduce the time for incident investigation and response, and speed threat hunting efforts by focusing security teams on the threats that matter. Headquartered in Sunnyvale, Calif., the company is backed by NEA, Index Ventures and Venrock. For more information, visit www.niara.com.
LEWIS for Niara