IBM Security QRadar Reviews

My use case for IBM QRadar User Behavior Analytics is to consolidate all the logs and events from a different tool so that I can see the alerts from that other tool on the dashboard.

My company connects the Windows event logs to the Xfinity router deployed on the main server, but I have to make some configurations to detect activities.

My team is working on reinforcing IBM QRadar User Behavior Analytics features since the solution has not been used for a while because there's a new generation of engineers in my company. My team has to reconfigure almost every screen, including IBM QRadar User Behavior Analytics.

What's most valuable in IBM QRadar User Behavior Analytics is its higher availability than other tools. It consolidates all alerts and detections from the other tools, but my team has to check each tool. As my company lacks the manpower to do that, my team has to do monitoring while working on making each function clear.

As a product, IBM QRadar User Behavior Analytics does everything mentioned on the datasheet for my company's version. Still, compatibility is a problem because my company needs to use an updated version of the tool. That version doesn't integrate with many new-generation tools, so this is an area for improvement.

You can scale IBM QRadar User Behavior Analytics, but it has room for improvement.

I've been using IBM QRadar User Behavior Analytics for years.

IBM QRadar User Behavior Analytics has been stable, and my team has made no significant changes since 2015. The team is working on utilizing it most efficiently.

The scalability of IBM QRadar User Behavior Analytics is a six out of ten.

My company doesn't get support from IBM because it's on a perpetual usage type of contract. My team can configure IBM QRadar User Behavior Analytics but cannot contact IBM for help.

When I used to get technical support for IBM QRadar User Behavior Analytics, I'd say it was a seven out of ten.

The version of IBM QRadar User Behavior Analytics, which my company uses, is a little outdated from 2013. That version doesn't have the log collection feature.

My rating for the version of IBM QRadar User Behavior Analytics I'm using is a seven overall.

The most valuable features currently are the security behaviors and pdf files.

I would like to see more integration in place after the security lock.

I have been using IBM QRadar User Behavior Analytics for a couple of years now.

The product is very stable.

The initial setup was straightforward and took three to four months to deploy.

We used a vendor team to assist us in the process of deployment.

I would rate IBM QRadar User Behavior Analytics an eight out of ten.

Our primary use case for the solution is providing visibility for what occurs in our security system and IT assets. So all our event logs and information from a setting and criticality level go there. Additionally, there's AI used to trigger alerts when things are going bad, and then we can action them.

We find predictive analysis capabilities valuable.

The solution should include remote action capabilities.

We have been using the solution for approximately three years.

The solution is stable.

The solution is scalable. Over 1,000 people in our organization use the solution.

The initial setup is moderate, and it is neither easy nor difficult. However, it took approximately one week to complete the implementation.

We implemented it through a vendor team.

We chose this solution because it was provided to us through software as a service.

I rate the solution an eight out of ten. The solution is good but can be improved with enhanced remote control ability. I recommend the solution to new users considering it.

We are using IBM QRadar for log reviews, particularly logs that come and go from the IPS, firewall, etc.

We have different dashboards for different technologies such as our firewall, IPS, and domains for our main website, so we use IBM QRadar to observe the logs from our website, and we try to make internal and external connections for better domain security.

The best feature of IBM QRadar is visualization which shows you when there's a spike in the system, and this makes you realize that there's something wrong with the log.

IBM QRadar has outdated technology, and this is its area for improvement. When you try to implement an analytic expression, it's not updated. The solution doesn't support newer technologies, and it doesn't update regularly. For example, around the world, others implement new technologies, while IBM updates later than others.

There isn't any additional feature I'd like added to IBM QRadar at this point because it's sufficient for visualizing the logs.

I've been with the company for one and a half months, and I've been using IBM QRadar almost daily, but the solution was deployed five or six months ago.

IBM QRadar is a stable solution.

IBM QRadar is a scalable solution. My company currently has seven to eight different accounts on IBM QRadar, so it's a scalable technology. It has no problems with scalability.

I didn't have any problems with IBM QRadar, so I never contacted the technical support team.

I'm assuming that the main reason my company chose IBM QRadar is that IBM is one of the biggest tech companies in the world, so IBM products would be more secure and more reliable than other solutions.

As I didn't set up or deploy IBM QRadar, I have no information on whether it was easy or complex to set up.

I have no information about the licensing costs of IBM QRadar, and whether or not it requires a license.

I'm an intern at one of the biggest telecommunication companies, and my company uses IBM QRadar.

My advice if you want to use IBM QRadar is that you should use it because it's very scalable and it's easy to use. The solution also has many dashboards, and you don't have to write any code or write different scripts to get the information you need. You can do it from the UI of IBM QRadar. The only room for improvement in the solution is that it doesn't support newer technologies, and it's late when it comes to updates.

I'm rating IBM QRadar nine out of ten because my experience with it has been excellent. The only downside to it is that IBM is late with adding new features or supporting new technologies compared to its competitors.

My company is an IBM QRadar customer.

We are mainly using predefined rules on IBM QRadar User Behavior Analytics

When we started using IBM QRadar User Behavior Analytics's add-on or extension, we received more than 17 new use cases. Our organization has benefited from using IBM QRadar User Behavior Analytics.

IBM QRadar User Behavior Analytics's most important feature is its ease of use. 

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.

Using the interface of IBM QRadar User Behavior Analytics is the same for years, they should redesign the interface to make it more modern. Some historical queries take a long time, they should improve or change their database. There are some missing operators on the correlation side. For example, some before operated.

I have been using IBM QRadar User Behavior Analytics for approximately three years.

IBM QRadar User Behavior Analytics is stable most of the time. However, it works on the client-side which requires a lot of system resources, such as RAM. In some cases, if the work is high, the stability deteriorates, but mainly it is stable.

The scalability of IBM QRadar User Behavior Analytics is good. 

We have two people using this solution. We do not have plans to increase usage.

We use a consultancy company for support and are not directly connected to IBM support.

The deployment of IBM QRadar User Behavior Analytics is very easy when compared to other machine learning solutions. The full deployment took approximately three weeks with less than 5,000 EPAs.

We used a consultant that help us deploy and do maintenance for IBM QRadar User Behavior Analytics.

I rate the return on investment of IBM QRadar User Behavior Analytics a four out of five.

IBM QRadar User Behavior Analytics is an application framework and you can install many applications without any additional costs.

I rate the price of IBM QRadar User Behavior Analytics a four out of five.

IBM QRadar User Behavior Analytics is a good solution. If there is a big enough budget they might be able to afford the solution since it is expensive. If the conditions are okay, then they should select the solution.

I rate IBM QRadar User Behavior Analytics a six out of ten.

Our primary use case is logging for any anomalous traffic in terms of access times and deviations when users are in different groups within the AD. When a user deviates from their functionality, it's flagged in the UBA and for VPN traffic. I also use it for geolocation functionality. We are partners of IBM and I'm a system engineer. 

The timeline and the machine learning features are great at quickly flagging users who have either left the organization or have dormant accounts. The way that the app has transformed over time is quite phenomenal. One of the major improvements is its capacity for creating machine models. It comes with 16 default machine learning models, where it tracks user activity and changes in profiles and authentications. There are various default machine learning models and I'm able to model those to parameters that suit my needs. It's great that I'm able to implement an unlimited number of use cases on the UBA, putting in as many different kinds of logic as I want. It's a big advantage. 

I'd like to see improved support from the vendor. In addition there are things that are not documented on the IBM site. If you'd like to do something at a high level, the information is not available in the documentation and you have to find it elsewhere. 

I've been using this solution for five years. 

The solution has never crashed or failed, it's stable. 

We haven't tested scalability and currently have around 100 users. I'm responsible for maintenance.

The customer support is helpful but that's more about it being a good solution. 

The initial setup is straightforward, it's just a download and it installs. It's a matter of configuring a few parameters in terms of tweaking the thresholds that you want the app to fire in on. Installing takes a few seconds, but in terms of letting it land so that you can tweak it and tune the various metrics, takes about a week. 

This is a free solution which is one of the main reasons we chose it. It's just a matter of getting a license for the curator as a platform.

I recommend this solution and rate it seven out of 10. 

I'm an administrator. I have been leading the security operation center for the past four years. I have more than 12 members or SOC analysts for our 24/7 operations. I have been pitching the solutions to multiple customers, and I have also designed, implemented, and administered customer projects and completed them at the specified timeline.

We have many use cases. The most common use cases are related to insights into any threats from the inside and outside. I have also configured X-Force with QRadar, and we are getting all the feeds showing malware-based IPs, etc. I also have designed some anomaly-based rules in case anyone has logged in from outside Pakistan. Most of the rules are custom-based.

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 is user-friendly, and it is easy to develop. If you know the architecture, what to develop, and how to get the output for your results, you can easily work with it.

I have also been working with other SIEM solutions, and I have observed that they have extensive Linux-based and Unix-based integrations. They have been able to support some of the Linux-based agents, which is useful to investigate and process the information on the Linux and Unix side.

It could have pre-defined automation and integration of all those device parameters that analysts have to share manually.

It is stable.

I would rate them a 3.5 out of 5.

It is not very difficult. I have done more than 10 deployments, and I have integrated and developed custom applications. I have also developed a Python-based script to support me with the things that IBM cannot support. I am using that script from the health check perspective. It gives me a high-level and low-level overview of QRadar with respect to the rules that have been triggered and the notifications that have been generated and how to tune them.

I would rate it an eight out of 10.

When it sends the log source, QRadar generates a lot of noise and false positives. LogRhythm logs when the alarm rules are disabled, so it doesn't generate any noise when sending the log source. I think LogRhythm's one, this one too. QRadar, we have to cure it all the time. It's only this advantage with QRadar.

I would also like to see more integration with other vendors. IBM doesn't integrate well with products from China, like Huawei. Many Middle Eastern customers are switching to Huawei from American vendors like Cisco because of the price. In most RFPs, Huawei wins because it costs less. 

IBM needs to integrate better with Huawei. I opened one case with IBM, and they told me to submit a request for enhancement so they could write the correct DSMs to integrate with Huawei. We were very disappointed. Customers who want to implement QRadar or LogRhythm need to consider all the other components. The environment needs to be homogenous to avoid problems due to a lack of integration.

My old company used QRadar, so I still use it sometimes when I consult for them. They get stuck on a few things. I also worked on vulnerability discovery. Right now, my current customers are migrating from QRadar to LogRhythm.

QRadar is built around Red Hat Linux, which is highly robust.

IBM's support for QRadar could be improved. Sometimes it takes them two days to reply to a low-priority case. However, it tasks them about 1.5 hours to respond to a more serious case. Sometimes our customer service will think it's a priority one case, so he asks me to open it as priority one, then IBM reduces it to two or three. 

We don't have any security appliances from Huawei, but they have the best technical support. We have engineers everywhere with CRM, and they call you after the problem is resolved. IBM closes the case, and that's it. It's a very restricted environment. 

QRadar is reasonable compared to LogRhythm.

I rate IBM QRadar nine out of 10. If you're going to use QRadar, you have to be familiar with it and know all the components. IBM offers free appliances, like data nodes, that offload many processes from the collectors and the processors. 

Every engineer must understand the overall portfolio to add some value to the solutions. If a solution isn't integrated with other solutions, they are only collectors. You need to tune the rules and be up to date with the Mitre Att&ck framework all the time.