"One or two people can maintain and support the solution. The maintenance is not difficult."
"IBM QRadar User Behavior Analytics's most important feature is its ease of use."
"It provides many options for searching. I can see devices from different vendors, like Cisco, in one interface, which is good for me."
"The feature that I find the most useful is that IBM QRadar User Behavior Analytics is free of charge. It's a fully free product that can be installed on top of IBM QRadar SIEM."
"It's hard for me to pinpoint any one feature that's most valuable because it is all about consuming logs and analyzing them. We started using QRadar UBA because we needed something that could analyze Linux authentication information. Other products take care of the Windows platform."
"IBM QRadar User Behavior Analytics has easy architecture, has a good portfolio and integration."
"I have used IBM QRadar User Behavior Analytics in a Cloud Pak on Amazon, and there it runs on top of it and is easy to assess. Additionally, I have installed processes and characters."
"Integration is very easy and the reporting is good."
"The scalability is very good. It's not a problem."
"Hillstone I-Series Server Breach Detection System can improve by having more anti-spam features that will hopefully eliminate all of the other threats."
"I don't give it a 10 because it is something we have to request. I would love it if UBA was included out of the box like Microsoft."
"Whenever we are upgrading or installing any type of patch, at that time we have some delays."
"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."
"The solution lacks vendor support."
"The user interface and configurability of IBM QRadar User Behavior Analytics can be improved. It has a lot of pre-configured settings and not many things can be changed. It also needs more integrations. Currently, User Behavior Analytics is integrated only with IBM QRadar. It could have deeper integrations. It can also have more complicated scoring models. Currently, it has a very simple linear scoring model for users."
"The solution could improve by having more out-of-the-box use cases."
"We sometimes get an error about the hard drive. Approximately once in two months, we can't find the logs, and they go missing, which is a terrible issue. We are getting support for this issue from our support company."
"The dashboard is pathetic and it takes a long time to perform a search."
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.
The User Behavior Analytics for QRadar (UBA) app is a tool for detecting insider threats in your organization. It is built on top of the app framework to use existing data in your QRadar to generate new insights around users and risk. UBA adds two major functions to QRadar: risk profiling and unified user identities.
Risk profiling is done by assigning risk to different security use cases. Examples might include simple rules and checks such as bad websites, or more advanced stateful analytics that use machine learning. Risk is assigned to each one depending on the severity and reliability of the incident detected. UBA uses existing event and flow data in your QRadar system to generate these insights and profile risks of users.
Hillstone I-Series Server Breach Detection System is ranked 18th in User Behavior Analytics - UEBA with 1 review while IBM QRadar User Behavior Analytics is ranked 7th in User Behavior Analytics - UEBA with 10 reviews. Hillstone I-Series Server Breach Detection System is rated 7.0, while IBM QRadar User Behavior Analytics is rated 7.2. The top reviewer of Hillstone I-Series Server Breach Detection System writes "Simple maintenance, scalable, but better anti-spam features needed". On the other hand, the top reviewer of IBM QRadar User Behavior Analytics writes "It has good support and works with Linux platforms". Hillstone I-Series Server Breach Detection System is most compared with , whereas IBM QRadar User Behavior Analytics is most compared with Splunk User Behavior Analytics, Securonix UEBA, Microsoft Defender for Identity, Cynet and Exabeam Fusion SIEM.
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