Gurucul Risk Analytics Evaluated in Report that Looks at 13 Providers
that
Matter Most and How They Stack UpLOS ANGELES (BUSINESS WIRE) #EY ― Gurucul , a leader in behavior based
security and fraud analytics technology for on-premises and the cloud,
today announced it was named a strong performer in the recent report,
The Forrester Wave: Security Analytics Platforms, Q3 2018. In the
report, Forrester evaluated the strengths and weaknesses of top security
analytics platform vendors against 30 criteria that span current
offering, strategy and market presence.
According to the report, “customer feedback indicates that Gurucul’s
machine learning models, risk scoring, and flexibility are strengths…
Enterprises looking for a robust security analytics tool with strong
security user behavior analytics (SUBA) and data protection should
consider Gurucul”.
“Legacy SIEMs rely on rules or signatures to identify threats, and lack
advanced data science techniques like machine learning and behavioral
anomaly detection. Since all SIEM platforms charge separately for data
infrastructures, this limits the number of use cases organizations can
implement,” said Nilesh Dherange, chief technology officer for Gurucul.
“That’s why so many customers are making Gurucul’s Security Analytics
platform the centerpiece of their security operations. Our flexible
deployment options, open and no cost support for big data, and more than
1000 use case specific machine learning models can detect the most
stealth attacks including insider threats and account compromise.”
Gurucul received the highest possible scores from Forrester in the data
architecture, deployment options, advanced detection techniques, risk
scoring and prioritization, user behavior analytics, cloud security,
data security and delivery/implementation model criteria.
About GRA
Gurucul Risk Analytics (GRA) is a multi-use
behavior based security and fraud analytics platform with an
architecture that supports an open choice of big data for scale, the
ability to ingest virtually any dataset for desired attributes and
includes configurable prepackaged analytics. The Gurucul GRA platform
includes UEBA, Fraud Analytics, Identity Analytics and Cloud Analytics
products. In addition,Gurucul
enables security teams to create custom machine learningmodels to meet unique customer requirements without coding and minimal
data science knowledge. GRA ingests and analyzes huge volumes of data
generated when users access and interact with business applications, in
both the data center and the cloud, to generate risk scores, identify
security threats and prevent data breaches. The Gurucul GRA platform has
been successfully deployed by government agencies and Global Fortune 500
companies.
About Gurucul
Gurucul is a global cyber security and fraud
analytics company that is changing the way organizations protect their
most valuable assets, data and information from insider and external
threats both on-premises and in the cloud. Gurucul’s real-time security
analytics and fraud analytics technology combines machine learning
behavior profiling with predictive risk-scoring algorithms to predict,
prevent and detect breaches. Gurucul technology is used by Global 1000
companies and government agencies to fight cyber fraud, IP theft,
insider threat and account compromise. The company is based in Los
Angeles. To learn more, visit http://www.gurucul.com/
and follow us on LinkedIn
and Twitter .
Contacts
Marc Gendron PR
Marc Gendron, 781-237-0341
marc@mgpr.net
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