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 Splunk, Microsoft, Wazuh and others in Security Information and Event Management (SIEM).
"The Log analytics are useful."
"I like the KQL query. It simplifies getting data from the table and seeing the logs. All you need to know are the table names. It's quite easy to build use cases by using KQL."
"The machine learning and artificial intelligence on offer are great."
"Previously, it was a little bit difficult to find where an incident came from, including which IP address and which country. So in Sentinel, it's very easy to find where the incident came from since we can easily get the information from the dashboard, after which we take action quickly."
"One of the most valuable features is that it creates a kind of a single pane of glass for organizations that already use Microsoft software. So, when they have things like Microsoft 365, it is very easy for them to kind of plug in or enroll those endpoints into the Azure Sentinel service."
"We can use Sentinel's playbook to block threats. It covers all of the environment, giving us great visibility."
"We didn't have anything similar. So, it really provides value from the incidents and automation point of view. The overview of the security fabric is most valuable."
"It is quite efficient. It helps our clients in identifying their security issues and respond quickly. Our clients want to automate incident response and all those things."
"I think the QDI is very good."
"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."
"The most valuable features would have to be the products' ability to customize vulnerability management settings."
"It is a pretty solid product for the type that it is representing. It is a CM solution as compared to Splunk or ArcSight from HP. It is also user friendly. It comes with some internal AI as well, in which it automatically maps multiple lots from unrelated devices and makes a smart decision to link them back and create an offense based on that. It is a smart tool."
"The visibility it gives you into your infrastructure has been great."
"The correlation and the parsing are important features, since it is very important for a SIEM to have a good scalability and performance."
"It helps us discover any threats with their alerts and tracking."
"IBM QRadar User Behavior Analytics has easy architecture, has a good portfolio and integration."
"It does a reliable job of parsing out the logs of all the network traffic so that we can ingest them into our SIEM and utilize them for threat hunting and case investigations. It is pretty robust and reliable. The administration time that we spend maintaining it or troubleshooting it is very low. So, the labor hour overhead is probably our largest benefit from it. We spend 99% of our time in Vectra investigating cases, responding to incidents, or hunting, and only around 1% of our time is spent patching, troubleshooting, or doing anything else. That's our largest benefit from Vectra."
"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."
"We discovered a lot of things in our network and are correcting several misconfigurations. We are learning how some apps work together and how some things shouldn't happen. It's also easier for us to identify the source of a brute force, whereas before, we didn't even know we had a brute force."
"Vectra produces actionable data using automation. That has helped us. It's less manpower now to look at incidents, which has definitely increased efficiency. Right now, in a lot of cases, our mean time to detection is within zero days. This tells me by the time something happened, and we were able to detect it, it was within the same day."
"The core product provides excellent visibility, but my favorite feature is Vectra Recall."
"We particularly like the user experience around the dashboard, which we find to be much more straightforward than the dashboard of some of the competitive products... Vectra is a really easy system to understand and use to prioritize where we need to focus our security resources."
"The dashboard gives me a scoring system that allows me to prioritize things that I should look at. I may not necessarily care so much about one event, whereas if I have a single botnet detection or a brute force attack, I really want to get on top of those."
"One of the key advantages for us is we define a 24/7 service around it. We use far more of Vectra alerts than we do with our SIEM product because we understand that when we get an alert from Vectra we actually need to do something about it."
"It could have a better API to be able to automate many things more extensively and get more extensive data and more expensive deployment possibilities. It can gain some points on the automation part and the integration part. The API is very limited, and I would like to see it extended a bit more."
"They're giving us the queries so we can plug them right into Sentinel. They need to have a streamlined process for updating them in the tool and knowing when things are updated and knowing when there are new detections available from Microsoft."
"We've seen delays in getting the logs from third-party solutions and sometimes Microsoft products as well. It would be helpful if Microsoft created a list of the delays. That would make things more transparent for customers."
"I think the number one area of improvement for Sentinel would be the cost."
"When it comes to ingesting Azure native log sources, some of the log sources are specific to the subscription, and it is not always very clear."
"Sentinel still has some anomalies. For example, sometimes when we write a query for log analysis with KQL, it doesn't give us the data in a proper way... Also, the fields or columns could be improved. Sometimes, it is not giving the desired results and there is a blank field."
"Sometimes, it is hard for us to estimate the costs of Microsoft Sentinel."
"Microsoft Sentinel should provide an alternative query language to KQL for users who lack KQL expertise."
"The solution is clunky."
"IBM QRadar could improve the plugins and threat detection."
"When it comes to what could be better, it is always what others are trying to do and what is the roadmap. It can have more integration. It should have more flexible RESTful APIs for integration with applications. These are the things that are always in demand for any of the SIEM solutions, not only for QRadar. Integration is ever-evolving. Nowadays, different versions of mobile handsets are there and data is getting scattered. Users are using their personal handsets to keep the data of the organization. So, it should have a more flexible integration, irrespective of the flavor of the firmware and iOS or Android version. It should have an API that can seamlessly get integrated. It should also provide more flexible control and a more advanced or analytical view to see what exactly is happening across the globe or network. From wherever a user is connecting and accessing the enterprise data, it should give real-time visibility and predictive visibility about what exactly is happening. These things are already there, but there should be more advanced control in terms of managing the security."
"It is very difficult to activate all of the network equipment, and it would help if it were made easier."
"SOAR is what is expected the most from QRadar. They have something called SOAR Resilient, and it would be great if that gets induced in SIEM. IBM QRadar (as well as McAfee ESM) should have analytics platform integration. Currently, SIEMs don't have full-fledged integration with analytics where we are able to dump our data in SIEM, and the same data can be called from different analytics applications. We should be able to bring this data to a platform like Hadoop for big data and run the analytics there. Currently, people are seeing the past data and taking some actions in the present, but when it comes to analytics, there should be futuristic data where you can predict something out of your present and past data. Apart from that, I would like to see a full-fledged ITSM tool in QRadar. It sometimes has some technical issues that need to be checked. It requires a dedicated QRadar engineer to completely manage it. It has different module sets, such as event collector and event processor, and some technical glitches come in between. It takes the log but doesn't exactly process it in the way we want."
"GUI needs to be improved."
"The reporting system could use some upgrading."
"With IBM Security QRadar, my company faced issues with the support we received for the product."
"One of the things I am not so happy about when it comes to Vectra is the scoring board."
"It does a little bit of packet capture on alert so you can look at the packet capture activity going on, but it doesn't collect a whole lot of data. Sometimes it's only one or two frames, sometimes it does collect more. That's why they have the addition of their Recall platform, because that really does help expand the capability."
"One area where there's room for improvement is the absence of a comprehensive TCP recording and replay feature."
"Other alternatives, like Darktrace, have a fancier UI."
"The solution's marketing is not good."
"The solution has not reduced the security analyst workload in our organization because we still need to SIEM. Unfortunately, while Vectra, for us, is a brilliant tool for network investigations, giving wonderful visibility, it doesn't go the whole way to replace our SIEM that is needed for compliance. So, I still have the same amount of alerting and logging that I did before. It gives us more defined ability to see incidents, but it doesn't give us enough information to satisfy a PCI or 27001 audit."
"I'd like to be able to get granular reports and to be able to output them into formats that are customizable and more useful. The reporting GUI is lacking."
"The reporting from Cognito Detect is very limited and doesn't give you too many options. If I want to prepare a customized report on a particular host, even though I see the data, I have to manually prepare the report. The reporting features that are built into the tool are not very helpful."
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 Sentinel, 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.
