We performed a comparison between IBM Security QRadar and Netskope Advanced Analytics 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)."Integration is very easy and the reporting is good."
"Integrations are quite a useful and key feature of this solution. It has integration with the CVSS score, which is a central point for all the data and scores about the threats. There is an IBM Bluemix dashboard that is integrated with the CVSS score."
"It is a bit easier to use than other products, such as Splunk or ELK Elasticsearch."
"What I like about IBM QRadar User Behavior Analytics is that it uses machine learning algorithms to generate risk scoring for the user activity. I also like that it syncs with our Active Directory users, so it really has full coverage for all users in our environment."
"It saves a lot of time. We integrate the customer's firewall with all their networking devices."
"Technical support is good overall."
"IBM Qradar's ability to simplify the number of events, not only on a technical level but by making that information easy to pan through the orchestration deduplication. It is very impressive given that we have hundreds of devices that send event logs through."
"IBM QRadar User Behavior Analytics has easy architecture, has a good portfolio and integration."
"It provides comprehensive reports, including predefined templates tailored for compliance requirements, making it easier to present detailed information to customers."
"It doesn't have a SOAR system by default. You need to purchase it additionally, which is the main problem with QRadar."
"There is one problem with QRadar in regards to the add-on apps. The apps can be frustrating. For example, when I add a big app like one of the add-ons for resiliency, add-on applications for QRadar, these applications require different hardware to implement and to deploy. The resiliency connector because there's a considerable amount of data scanning, operates for these apps correctly."
"I would like the rule creation interface to be much more user-friendly in the next release."
"In a future release, the solution could provide malware analysis."
"Needs better visualization options beyond the time series charts and a few other options that they have."
"The solution lacks vendor support."
"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'm not sure about the stability just yet. We've observed a few issues and we raised a supporting ticket for it."
"Netskope could consider implementing a user-friendly interface with a 'pick and choose' option that allows users to select and configure components from existing templates, making the customization process more accessible."
IBM Security QRadar is ranked 1st in User Entity Behavior Analytics (UEBA) with 198 reviews while Netskope Advanced Analytics is ranked 20th in User Entity Behavior Analytics (UEBA) with 1 review. IBM Security QRadar is rated 8.0, while Netskope Advanced Analytics is rated 7.0. The top reviewer of IBM Security QRadar writes "A highly stable and scalable solution that provides good technical support". On the other hand, the top reviewer of Netskope Advanced Analytics writes "User-friendly experience and customization of workflow with certain scripting challenges". IBM Security QRadar is most compared with Microsoft Sentinel, Splunk Enterprise Security, Wazuh, LogRhythm SIEM and Elastic Security, whereas Netskope Advanced Analytics is most compared with Microsoft Purview Insider Risk Management.
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