Manage and Monitor Identity-based Risks
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Radically Reduce Accounts and Entitlements
Gurucul Identity Analytics delivers the data science that improves IAM and PAM, enriching existing identity management investments and accelerating deployments. Identity Analytics 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:
✔ Discover privileged access and remediate excess entitlements by identifying outliers
✔ Enable risk-based access certifications
✔ Discover and eliminate dormant and orphan accounts
✔ Reduce your attack surface with a 40% reduction in excess access
✔ Reduce on-boarding time by 60% with dynamic provisioning
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.
‛ Identity Analytics forms the foundation of our overall control set at Aetna. We have a risk score for all our users that is derived from Identity Analytics. That risk score is one of the primary factors in many of our downstream controls. ’
– Kurt Lieber, CISO, Aetna
Gurucul is changing the way enterprises protect themselves against insider threats, fraud, account compromise and data exfiltration in both on-premises and cloud environments. The company’s Behavior Based Security Analytics and Intelligence platform uses machine learning and predictive anomaly detection algorithms to reduce the attack surface for accounts, and to eliminate unnecessary access rights and privileges. Identify, predict and prevent breaches with Gurucul Risk Analytics.