We performed a comparison between Hillstone I-Series Server Breach Detection System and IBM Security QRadar based on real PeerSpot user reviews.
Find out what your peers are saying about IBM, Splunk, Rapid7 and others in User Entity Behavior Analytics (UEBA)."The most valuable features of the Hillstone I-Series Server Breach Detection System are the AI detection and monitoring of common threats."
"One or two people can maintain and support the solution. The maintenance is not difficult."
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"We get events and make the correlation, or rules. In IBM, we can implement our customer's rules. We can have very clear status threats and severity of antigens."
"The UBA feature is the most valuable because you can see everything about users' activities."
"The flexibility is good in terms of pulling log files."
"Vulnerability detection is the most valuable feature. It's the tool that finds the threats."
"It is a very good SIEM."
"The QNI feature is the one I am very interested in, and I have also been interested in Watson. From the log analysis and the security perspective, we are able to dive deep into any of the logs and anomalies."
"It protect us from multiple authentication values, unauthorized access and antivirus threats."
"The solution is easy to use, manage, and review all incidents."
"Hillstone I-Series Server Breach Detection System can improve by having more anti-spam features that will hopefully eliminate all of the other threats."
"The UI dashboard view needs to be improved because it is ugly. If it was more modern it would be better. Additionally, better integration with other databases would be good."
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"The user interface is a bit clunky, a bit hard to find what you need."
"IBM QRadar User Behavior Analytics could improve machine learning use cases because they are limited and most of the use cases are rule-based. They should develop more use cases, such as in Securonix or Exabeam because they will detect a threat. Using machine learning is mainly on the correlation rules, but if you think about Exabeam or Securonix, they detect using machine learning or machine learning-based algorithms."
"I would like to see a better GUI."
"It is not app based."
"IBM Qradar could improve the reporting. The tool is not designed to report. It's a great operational monitoring tool. You put it on a screen and you watch it. If you want to have analytics out of it, that's a whole different story. You're going to need more people and tools. What should be added is reporting and integration into Power BI, into some capability that produces analytical reports from the source data. IBM does not seem to care to add these features."
"The API integration for AD is a problem when it comes to vulnerability management. If you want to incorporate multiple factor authentication it becomes a problem with the AD. It doesn't integrate well. That needs to be improved."
"QRadar needs to be improved on the storage side, particularly when the disc exceeded the maximum threshold."
"IBM QRadar could improve the plugins and threat detection."
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Hillstone I-Series Server Breach Detection System is ranked 22nd in User Entity Behavior Analytics (UEBA) with 2 reviews while IBM Security QRadar is ranked 1st in User Entity Behavior Analytics (UEBA) with 198 reviews. Hillstone I-Series Server Breach Detection System is rated 7.0, while IBM Security QRadar is rated 8.0. The top reviewer of Hillstone I-Series Server Breach Detection System writes "Beneficial AI detection, helpful support, but modern UI needed". On the other hand, the top reviewer of IBM Security QRadar writes "A highly stable and scalable solution that provides good technical support". Hillstone I-Series Server Breach Detection System is most compared with Fortinet FortiWeb, whereas IBM Security QRadar is most compared with Microsoft Sentinel, Splunk Enterprise Security, Wazuh, LogRhythm SIEM and Elastic Security.
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We monitor all User Entity Behavior Analytics (UEBA) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.