Gurucul updates enterprise user behavior security platform for full stack analytics
Cybersecurity company Gurucul has announced the launch of a new version of enterprise Risk Analytics platform to extend behavior-based security analytics with pre-built machine learning spanning the entire IT stack, to unify analytics for real-time anomaly and risk detection across enterprise and cloud platforms, applications, networks, mobile endpoints, IoT and medical devices.
The new Gurucul Risk Analytics (GRA) platform goes beyond security information and event management (SIEM) capabilities, according to the announcement, with automation capabilities for step-up authentication and preventative DLP enforcement in high risk situations. The company says that detecting malicious activity in distributed high-traffic environments associated with medical devices or POS systems is beyond the capabilities of siloed rule and pattern-based monitoring solutions. Forrester recommends Gurucul in its latest Forrester Wave: Security Analytics Platforms report for its strong “security user behavior analytics,” which are based on data collected from high-frequency events and transactions and contextual metadata from the full IT stack, run through machine learning models to detect and apply risk scores to suspicious activity.
“For effective risk mitigation, a security analytics platform must be able to span the entire IT footprint of an organization and provide an open framework to create user defined entities, modify existing machine learning models and trigger risk-response actions in real-time,” said Nilesh Dherange, CTO of Gurucul. “Just as we were the first to extend behavior analytics from on-premises to the Cloud, Gurucul UEBA is the only solution helping customers with risk detection and scoring to the extended enterprise of mobile, IoT, PoS, medical and other entities.”
The user experience has been streamlined, and now includes open and flexible dashboards personalized with widgets and a wide range of visualizations, according to the announcement. It also now provides out-of-the-box dashboards for UEBA (user and entity behavior analytics), fraud analytics, cloud analytics, access analytics, network analytics, and a range of customizable roles. Gurucul offers more than 1,000 pre-packaged machine learning models, with supervised, unsupervised, and deep learning algorithms and versions pre-tuned for specific threats or industry use cases. Organizations can also customize models or build new ones with Gurucul STUDIO.
Gurucul Risk Analytics 7.0 is available as a cloud service, and can also be deployed in on-premises data centers and hybrid environments, and as a managed service. The company is demonstrating the new platform at RSA Conference 2019 this week.