Gurucul Identity Analytics (IdA) comprehensively manages and monitors identity-based risks and threats across an organization’s siloed environments. Using big data, Gurucul provides a holistic 360-degree view of identity, access, privileged access, and usage in the cloud, on mobile and on-premises. IdA reduces the access plane by detecting and removing access risks, access outliers, and orphan or dormant accounts. This improves an organization’s security posture by significantly decreasing the number of accounts that can be compromised or abused.

Identity Analytics delivers the data science that improves IAM and PAM, enriching existing identity management investments and accelerating deployments. IdA surpasses human capabilities by leveraging machine learning models to define, review and confirm accounts and entitlements for access. It uses dynamic risk scores and advanced analytics data as key indicators for provisioning, de-provisioning, authentication and privileged access management.

The impact of machine learning with Identity Analytics can radically reduce accounts and entitlements. Machine learning models provide 360-degree visibility for an identity, accounts and access, with the ability to compare to peer groups using baselines to determine normal and anomalous access. The objective is to clean up the access plane to enable access only where it should be provided.

Gurucul User and Entity Behavior Analytics (UEBA) uses machine learning models on open choice big data to detect unknown threats early in the kill chain. UEBA provides the most realistically effective approach to comprehensively manage and monitor user and entity-centric risks. UEBA quickly identifies anomalous activity, thereby maximizing timely incident or automated risk response. The range of Gurucul UEBA use cases is what makes the solution extensible and valuable. It focuses on the detection of risks and threats beyond the capabilities of signatures, rules, and patterns. Using big data, Gurucul provides risk-based behavior analytics delivering actionable intelligence for security teams with low false positives. Gurucul leads the market in demonstrating UEBA results where others cannot. We consume the most data sources out-of-the-box and leverage the largest machine learning library. Additionally, we deliver a single unified prioritized risk score per user and entity. Find threats – unknown unknowns – quickly with no manual threat hunting and no configuration. Get immediate results without writing queries, rules or signatures.  The mature capabilities of UEBA provide robust and optimal advanced security analytics. It applies across a range of on-premises and hybrid environments, scoring the gray areas of unknowns and minimizing false positives. The result is improving the focus of ‘find-fix’ resources and optimizing the time of security analysts, efficiency in the SOC, and making operations and people more productive.