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Cyber adversaries are getting more and more sophisticated and therefore it is best practice to apply multiple security layers when protecting against privileged access abuse. Today’s threatscape requires security controls to be adaptive to the risk-context and to use machine learning to carefully analyze a privileged user’s behavior. Leveraging Centrify Privilege Threat Analytics Service can make the difference between falling victim to a breach or stopping it in its tracks.
Gurucul Risk Analytics is built upon our core PIBAE architecture (Predictive Identity Based Behavior Anomaly Engine). PIBAE identifies anomalous behaviors across users, accounts, applications, and devices by leveraging behavior analytics, machine learning, and peer group modeling.
Our big data enabled approach provides organizations’ with risk based compliance, continuous access governance and protection from under-the-radar cyber campaigns and sophisticated insider activity like IP Theft, Data Exfiltration and Privilege Access Abuse. Gurucul provides a Hybrid Behavior Analytics (HBA) architecture with the breadth of Identity Analytics to User & Entity Behavior Analytics, and the depth from cloud apps to on-premises behavior.
Centrify Privilege Threat Analytics Service is ranked 31st in User Behavior Analytics - UEBA while Gurucul is ranked 17th in User Behavior Analytics - UEBA with 1 review. Centrify Privilege Threat Analytics Service is rated 0.0, while Gurucul is rated 7.0. On the other hand, the top reviewer of Gurucul writes "A unified security and risk analytics solution with a useful reporting feature, but it could be more stable". Centrify Privilege Threat Analytics Service is most compared with , whereas Gurucul is most compared with Securonix Security Analytics, Splunk User Behavior Analytics and Exabeam Fusion SIEM.
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