Compare Citrix Analytics vs. IBM QRadar User Behavior Analytics

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Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"Very good scalability."

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"Most of the features are good. It is an excellent solution.""In terms of the most valuable features, the log collections and log processing mechanisms are good. They have good dashboards.""QRadar shows very effective correlations. If you combine all the logins plus user behavior and the current intelligence, it gives a very good correlation for business. I think it reduces the false positives in user activity monitoring because there is a lot of social information to correlate with other data.""It has a powerful GUI where you can put together your use cases, and don't have to write your own scripts.""I really like the feature we have with the logs, that if there are any credit card numbers being used, like a PII, you can just use rejects and you can mask it. This is a really good feature in QRadar.""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 provides many options for searching. I can see devices from different vendors, like Cisco, in one interface, which is good for me.""Integration is very easy and the reporting is good."

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Cons
"Lacks recording features."

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"IMB should reduce the pricing, or reduce some of the features for a more economical solution for the customer.""They have to build more quantitative monitoring, profiling, and make it more predictive.""From a functionality point of view there are issues sometimes.""While the interface is easy to use, it could be a little more responsive.""There should be an extension where we can get the reports. This could be an extension to the dashboard with the Guardian or another product with limited technology, for example IPS. Now, we only have IBM. Basically, it needs more and more integration models.""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.""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."

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Pricing and Cost Advice
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"The price of this solution is a little bit expensive, so if it were cheaper then it would help.""It's free of charge.""The price of this product is high."

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Top Answer: Integration is very easy and the reporting is good.
Top Answer: This is a good product, although it does require some fine-tuning. The dashboard is pathetic and it takes a long time to perform a search. The graphics need to be improved. Providing good support is… more »
Ranking
Views
210
Comparisons
101
Reviews
1
Average Words per Review
240
Rating
7.0
Views
734
Comparisons
485
Reviews
7
Average Words per Review
417
Rating
6.7
Comparisons
Also Known As
Citrix Analytics for Performance
IBM QRadar UBA, QRadar UBA, QRadar User Behavior Analytics
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Overview

The future works with actionable insights
Organizations have more rich data available to them than ever before, but data is only as good as the insights it provides and the actions you can take on it. Gathering this data can be unwieldy and making sense of it can be overwhelming. With machine learning applied to data that spans network traffic, users, files, and endpoints, you can identify and take action on user behavior and app performance.

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.

Offer
Learn more about Citrix Analytics
Learn more about IBM QRadar User Behavior Analytics
Sample Customers
Scripps Health, Sydney University, Element Six, Lindex, SAS
Information Not Available
Top Industries
No Data Available
VISITORS READING REVIEWS
Comms Service Provider30%
Computer Software Company21%
Insurance Company11%
Financial Services Firm8%
Company Size
No Data Available
REVIEWERS
Midsize Enterprise29%
Large Enterprise71%
Find out what your peers are saying about One Identity, Cynet, Securonix Solutions and others in User Behavior Analytics - UEBA. Updated: September 2021.
533,638 professionals have used our research since 2012.

Citrix Analytics is ranked 20th in User Behavior Analytics - UEBA with 1 review while IBM QRadar User Behavior Analytics is ranked 8th in User Behavior Analytics - UEBA with 8 reviews. Citrix Analytics is rated 7.0, while IBM QRadar User Behavior Analytics is rated 6.8. The top reviewer of Citrix Analytics writes "Good security and scalability features; recording feature would be helpful". On the other hand, the top reviewer of IBM QRadar User Behavior Analytics writes "Stable and solid security intelligence but lacks some functionalities ". Citrix Analytics is most compared with LogRhythm Enterprise UEBA and Splunk User Behavior Analytics, whereas IBM QRadar User Behavior Analytics is most compared with Splunk User Behavior Analytics, Securonix UEBA, Cynet and LogRhythm Enterprise UEBA.

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We monitor all User 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.