We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
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.
The Hillstone Server Breach Detection System (sBDS) adopts multiple threat detection technologies that include both traditional signature-based technology as well as large-scale threat intelligent data modeling and user behavioral analytics modeling, which provides an ideal solution to detect unknown or 0-day threat attacks, to protect high-value, critical servers and their sensitive data from being leaked or stolen. Together with deep threat hunting analysis capabilities and visibility, Hillstone sBDS provides security admins the effective means to detect IOCs (Indicators of Compromise) events, restore the threat attack kill chain and provide extensive visibility into threat intelligence analysis and mitigations.
DNIF is ranked 14th in User Behavior Analytics - UEBA with 1 review while Hillstone I-Series Server Breach Detection System is ranked 27th in User Behavior Analytics - UEBA. DNIF is rated 6.0, while Hillstone I-Series Server Breach Detection System is rated 0.0. The top reviewer of DNIF writes "Fast and stable but needs better intelligence feeds". On the other hand, DNIF is most compared with Splunk, IBM QRadar, ArcSight Enterprise Security Manager (ESM), ELK Logstash and LogRhythm NextGen SIEM, whereas Hillstone I-Series Server Breach Detection System is most compared with .
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