We performed a comparison between LogRhythm NDR and Vectra AI based on real PeerSpot user reviews.
Find out in this report how the two Network Detection and Response (NDR) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It is a stable solution...It is a scalable solution."
"It's an excellent security tool with a user-friendly interface that's easy for anyone to use."
"The solution's ability to reduce alerts, by rolling up numerous alerts to create a single incident or campaign, helps in that it collapses all the events to a particular host, or a particular detection to a set of hosts. So it doesn't generate too many alerts. By and large, whatever alerts it generates are actionable, and actionable within the day."
"The most valuable feature for Cognito Detect, the main solution, is that external IDS's create a lot of alerts. When I say a lot of alerts I really mean a lot of alerts. Vectra, on the other hand, contextualizes everything, reducing the number of alerts and pinpointing only the things of interest. This is a key feature for me. Because of this, a non-trained analyst can use it almost right away."
"Vectra AI can bring the ability to detect intrusion on the network more so than legacy IDS tools."
"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."
"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 biggest feature for us, because we are heavy Microsoft users, is its integration with Office 365. On top of Vectra AI, we use all of the Microsoft security platforms, such as Defender ATP and Sentinel. Having full integration and a central platform to look at all of the threats that are coming through from the different platforms is a huge benefit for us."
"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."
"The key feature for me for Detect for Office 365 is that it can also concentrate all the information and detection at one point, the same as the network solution does. This is the key feature for me because, while accessing data from Office 365 is possible using Microsoft interfaces, they are not really user-friendly and are quite confusing to use. But Detect for Office 365 is aggregating all the info, and it's only the interesting stuff."
"There are opportunities for improvement, particularly in upgrading the expertise of local professionals and addressing support issues, which could potentially lead to cost reduction."
"From an improvement perspective, I would like LogRhythm NDR to reduce the compute size. I would also like LogRhythm NDR to improve the pricing model."
"The false positives and the tuning side of it is something that could use improvement. But that could be from our side."
"One thing which I have found where there could be improvement is with regard to the architecture, a little bit: how the brains and sensors function. It needs more flexibility with regard to the brain. If there were some flexibility in that regard, that would be helpful, because changing the mode of the brain is complex. In some cases, the change is permanent. You cannot revert it."
"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."
"Vectra is still limited to packet management. It's only monitoring packet exchanges. While it can see a lot of things, it can't see everything, depending on where it's deployed. It has its limits and that's why I still have my SIEM."
"An area for improvement in Vectra AI is reporting because it currently needs some details. For example, when you download a report from Vectra AI, you won't see complete information about the alerts or triggers. Another area for improvement in the tool is that sometimes, an alert has high severity, yet it's marked as low severity. Vectra AI should have a mechanism to change the severity level from low to high or critical."
"I would like more integrations with IOCs and threats currently on the Internet. I would also like to know which threats are based on zero-day attacks, current botnets, etc. Therefore, I would like more information on external threats."
"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."
"If you hit a certain number of rules, triage filters, or groups, the UX responds more slowly. However, we have a complex network and a lot of rules. So, our setup might not be a typical implementation example. We even had UX engineers onsite, and they looked at issues, improvements, and user feedback. Since then, it has gotten a lot better, they even built in features that we specifically requested for our company."
LogRhythm NDR is ranked 12th in Network Detection and Response (NDR) with 2 reviews while Vectra AI is ranked 2nd in Network Detection and Response (NDR) with 42 reviews. LogRhythm NDR is rated 8.0, while Vectra AI is rated 8.6. The top reviewer of LogRhythm NDR writes "A scalable and stable tool that offers users a great GUI". On the other hand, the top reviewer of Vectra AI writes "Integrates well with other security solutions and provides good technical support". LogRhythm NDR is most compared with Darktrace and Lumu, whereas Vectra AI is most compared with Darktrace, ExtraHop Reveal(x), Cisco Secure Network Analytics, Arista NDR and Corelight. See our LogRhythm NDR vs. Vectra AI report.
See our list of best Network Detection and Response (NDR) vendors.
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