Gartner Names Gurucul Key Vendor in 2014 User Behavior Analytics

Gurucul, an industry leading provider of Identity-Centric Behavioral Risk Intelligence, flag shipped by their Gurucul Risk Analytics™ platform and it’s Actionable Risk Intelligence™ announced that it has been identified as a key vendor in Gartner’s 2014 Market Guide for User Behavioral Analytics.

According to Gartner, the 2014 Market Guide for User Behavioral Analytics is a tool that enterprises should use to identify vendors that can help detect anomalous behavior inside their network environments. “User behavior analytics helps enterprises detect insider threats, targeted attacks, and financial fraud.*” Gartner also states in its findings that “User behavior analytics (UBA) is transforming security and fraud management practices because it makes it much easier for enterprises to gain visibility into user behavior patterns in order to find offending actors and intruders.*”

In Gartner’s Market Guide, Gurucul has been recognized as a security vendor offering solutions in industry leading five UBA categories, while most competitors have only been recognized for capabilities in two categories. Gurucul provides proven solutions in the following five security and risk intelligence categories: On-Premises Canned Analytics: Security and Fraud, On-Premises Data Exploration: Fraud or Security, Cloud Based UBA Services: Security and Fraud.

Gurucul Risk Analytics (GRA) platform has a proven track record of providing a 360° view of an organization’s risk landscape by consolidating and correlating human and machine profile data with activity, access and alerts data from defense-in-depth security solutions “To have Gartner recognize our capabilities in five different UBA categoriesis a great testament to the proficiency and effectiveness of our Gurucul Risk Analytics platform. We use detailed behavior profiling, contextually-aware algorithms, advanced security analytics along with a unique Self-Audit™ capability, to provide Actionable Risk Intelligence™ predictively. GRA’s self-learning platform, provides an efficient and evolving solution reducing the time and cost of finding, validating and remediating threats.” Says Saryu Nayyar, Gurucul Founder and CEO. Nayyar continues; “We strive to develop and deploy a market leading solution that will help companies detect, defend and deter against insider threats, targeted attacks and financial fraud.”

About Gurucul

Gurucul is a premier security risk intelligence provider, featuring Gurucul Risk Analytics (GRA), an Identity-Centric Behavioral Risk Intelligence platform. GRA is a big data enabled, Human and Machine Security Analytics solution providing Actionable Risk Intelligence™. Gurucul products improve risk, threat, and compliance postures by applying a unique identity-centric approach of correlating identity, activity, and access information to provide actionable data and prioritized alerts. Gurucul has developed the industry’s most advanced context-aware algorithms for behavior risk profiling and analyzing trends to detect threats and anomalous behavior. The Gurucul Risk Analytics platform (GRA) helps organizations efficiently prevent insider threat and fraud and protect intellectual property and regulated information.

About Gartner

Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

To read the full report please visit: 2014 Mark Guide for User Behavior Analytics www.gartner.com

For more information visit Gurucul and follow Gurucul on LinkedIn, Facebook, and Twitter: @Gurucul

External LinkGartner Recognizes GuruCul as a Key Vendor in 2014 Market Guide for User Behavior Analytics