We performed a comparison between IBM Security QRadar and Vectra AI based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Splunk, Wazuh and others in Security Information and Event Management (SIEM).
"Sentinel enables us to ingest data from our entire ecosystem. In addition to integrating our Cisco ASA Firewall logs, we get our Palo Alto proxy logs and some on-premises data coming from our hardware devices... That is very important and is one way Sentinel is playing a wider role in our environment."
"The Identity Behavior tab furnishes us with the entire history linked to each IP or domain that has either accessed or attempted to access our system."
"Native integration with Microsoft security products or other Microsoft software is also crucial. For example, we can integrate Sentinel with Office 365 with one click. Other integrations aren't as easy. Sometimes, we have to do it manually."
"I like the ability to run custom KQL queries. I don't know if that feature is specific to Sentinel. As far as I know, they are using technology built into Azure's Log Analytics app. Sentinel integrates with that, and we use this functionality heavily."
"The log query feature has been the most valuable because it's very good. You can put your data on the cloud and run queues from Sentinel. It will do it all very fast. I love that I don't have to upload it to an Excel file and then manually look for a piece of information. Sentinel is much faster and is good for big databases."
"The UI-based analytics are excellent."
"The Log analytics are useful."
"It is easy to implement (turn on) - does need a skilled analyst to develop queries and playbooks."
"IBM QRadar User Behavior Analytics has easy architecture, has a good portfolio and integration."
"IBM QRadar is great help from its security event monitoring to data center and NOC troubleshooting of issues hard for other departments to spot."
"QRadar, Splunk, and ArcSight are SIEM solutions with built-in AI/ML features. They can do the complete investigation and alert the admin about what is happening. They can also do the root cause analysis. There are many other features that come with QRadar. It has a more granular log, so you can integrate with various non-IT as well as IT-based components. You can get unstructured data to the SIEM data, and you can identify more what is happening in the network or what is happening in the central head office. You can also identify what is happening between your remote offices. You can also use it to identify what the users in the field are doing on their devices and how things are moving. From the integration point of view, it is very centric. It gives complete control centrally. If a user is not connected to the system, whenever he comes online, we can see the policy updates over the Internet, and we can ensure that the data that is supposed to be protected is protected."
"Network-Based Anomaly Detection (NBAD): Using NetFlow, JFlow, SFlow, or QFlow (all 7 layers), offenses are detected as a response when a rule is triggered."
"It provides many options for searching. I can see devices from different vendors, like Cisco, in one interface, which is good for me."
"The monitoring and dashboards are great."
"It is very stable. We have not faced interruptions in the past four and a half years."
"The initial setup of QRadar is not complex because we have done it before and we are used to the development. It is getting easier all the time."
"The administrative privilege detection feature is the most valuable feature. The admin accounts are often highly accessible to the high-risk component of the environment. If those accounts are compromised or are being used in a suspicious manner, that's high-fidelity events for us to look into."
"It's easy to manage, and I love the UX. It's very well designed. When we are looking for something, it's quite easy to find it."
"Vectra AI can bring the ability to detect intrusion on the network more so than legacy IDS tools."
"One of the things that we didn't expect to happen was that our network team also jumped on it faster than we thought. In most cases, if it's a security tool that's working on the network part, they can also use it to find out certain flaws that have been in the system. Certain flaws, related to some legacy stuff, were already there for quite a few years, which they couldn't explain at first, but we could explain them based on the timing of certain things."
"We often use the new feature to create PCAP files from the whole data traffic. It makes it much easier to find network problems such as whether the server is responding to a request. It has nothing to do with security, but it helps a lot to find other problems."
"Vectra AI is the best. It is a major product in our cybersecurity."
"Cognito Streams gives you a detailed view of what happens in the network in the form of rich metadata. It is just a super easy way to capture network traffic for important protocols, giving us an advantage. This is very helpful on a day-to-day basis."
"The solution provide visibility into behaviors across the full lifecycle of an attack in our network, beyond just the Internet gateway. It makes our security operations much more effective because we are now looking not just at traffic on the border, but we're looking at east-west internal traffic. Now, not only will we see if an exploit kit is being downloaded, but we would be able to see then if that exploit kit was then laterally distributed into our environment."
"They should just add more and more out-of-the-box connectors. It is quite a new product, and it has a lot of connectors, and even more would be good."
"If we want to use more features, we have to pay more. There are multiple solutions on the cloud itself, but the pricing model package isn't consistent, which is confusing to clients."
"Sentinel can be used in two ways. With other tools like QRadar, I don't need to run queries. Using Sentinel requires users to learn KQL to run technical queries and check things. If they don't know KQL, they can't fully utilize the solution."
"At the network level, there is a limitation in integrating some of the switches or routers with Microsoft Sentinel. Currently, SPAN traffic monitoring is not available in Microsoft Sentinel. I have heard that it is available in Defender for Identity, which is a different product. It would be good if LAN traffic monitoring or SPAN traffic monitoring is available in Microsoft Sentinel. It would add a lot of value. It is available in some of the competitor products in the market."
"It would be good to have some connectors for third-party SIEM solutions. Many customers are struggling with the integration of Azure Sentinel with their on-premise SIEM. Microsoft is changing the log structure many times a year, which can corrupt a custom integration. It would be good to have some connectors developed by Microsoft or supply vendors, but they are not providing such functionality or tools."
"They only classify alerts into three categories: high, medium, and low. So, from the user's point of view, having another critical category would be awesome."
"They could use some kind of workbook. There is some limitation doing the editing and creating the workbook."
"Currently, the watchlist feature is being utilized, and although there have been improvements, it is still not fully optimized."
"Technical support could be improved by a bit."
"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."
"There are areas in IBM Security QRadar that could benefit from improvement. Its ability to customize knowledge for specific purposes could be enhanced. Also, it lacks clarity in presenting details. It is also difficult to see the reports."
"It doesn't have a SOAR system by default. You need to purchase it additionally, which is the main problem with QRadar."
"We would like to see better instrumentation for debugging changes in the log flow."
"The custom rules could be simplified more or it should be possible to use a different language, other than the ones that the solution is already using. They should add other languages into the mix."
"The IBM support can be better."
"The modularity could be improved."
"What is most important for us is to have one place where we can manage a few brains because we are based on a zero-trust network. As a result, each customer needs to have a separate brain. For the SOC team, we need to have one place where the SOC analyst can go to visit the website and from that site manage all of the customers. Right now, Vectra AI doesn't have this capability, and I would really like to have this feature."
"I would like to see data processed onshore. Right now, the cloud components, like Office 365, must be processed on servers outside of Australia. I would like to see a future adoption of onshore processing."
"I would like to see a bit more strategic metrics instead of technical data. Information that I could show to my executive management team or board would be valuable."
"We would like to see more information with the syslogs. The syslogs that they send to our SIEM are a bit short compared to what you can see. It would be helpful if they send us more data that we can incorporate into our SIEM, then can correlate with other events."
"The solution's marketing is not good."
"A blind spot that I have is around the ease with which you can automate threat intervention."
"Some of their integrations with other sources of data, like external threat feeds, took a bit more work than I had hoped to get integrated."
"We have had a few issues with the integration of Vectra AI with EDR. Some filters have not been working. We've also had issues with the brain not being powerful enough."
IBM Security QRadar is ranked 4th in Security Information and Event Management (SIEM) with 198 reviews while Vectra AI is ranked 2nd in Intrusion Detection and Prevention Software (IDPS) with 40 reviews. IBM Security QRadar is rated 8.0, while Vectra AI is rated 8.6. 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 Vectra AI writes "Integrates well with other security solutions and provides good technical support". IBM Security QRadar is most compared with Splunk Enterprise Security, Wazuh, LogRhythm SIEM, Elastic Security and Fortinet FortiSIEM, whereas Vectra AI is most compared with Darktrace, ExtraHop Reveal(x), Cisco Secure Network Analytics, Arista NDR and Corelight.
We monitor all Security Information and Event Management (SIEM) 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.
