DNIF offers solutions to the world’s most challenging cybersecurity problems. Recognized by Gartner and used by some of the well-known global companies like PwC, Vodafone and Tata, this next generation analytics platform combines Security and Big Data Analytics to provide real-time threat detection and analytics to the most critical data assets on the Internet. With over a decade of experience in threat detection systems, DNIF has one of the fastest query response times and bridges the gap between searching, processing, analyzing and visualizing data thereby enabling companies with better SOC (Security Operations Center) management.
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.
DNIF is ranked 17th in User Behavior Analytics - UEBA while Gurucul is ranked 15th in User Behavior Analytics - UEBA with 1 review. DNIF 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". DNIF is most compared with Splunk, IBM QRadar, Wazuh, ArcSight Enterprise Security Manager (ESM) and Fortinet FortiSIEM, whereas Gurucul is most compared with Securonix Next-Gen SIEM, Exabeam Fusion SIEM and Splunk User Behavior Analytics.
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