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's an excellent security tool with a user-friendly interface that's easy for anyone to use."
"It is a stable solution...It is a scalable solution."
"Some valuable features of Vectra AI are that it is very intuitive and that there are only a small amount of false positives. Therefore, it's an effective solution."
"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."
"It has reduced the time it takes to respond to attacks. That comes back to the proactive point. It makes us able to lower down in the kill chain, we can react now, rather than reacting to incidents that happened, we can see an instant, in some cases, as it's being implemented, or as it's being launched."
"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."
"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."
"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."
"The solution is currently used as a central threat detection and response system."
"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."
"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."
"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."
"The rules for threats are not always precise and Vectra AI should improve this."
"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."
"We have a lot of system solutions and integrations with system solutions. Vectra is a type of black box. It implements AI-informed detection mechanisms, but we cannot create system detections. I understand that the product is designed this way, but it would be great if we could create our own detections as well."
"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."
"I think Vectra AI's automation, reporting, and integration could be improved."
"They use a proprietary logging format that is probably 90% similar to Bro Logs. Their biggest area of improvement is finishing out the remaining 10%. That 10% might not be beneficial to their ML engine, but that's fine. The industry standard is Zeek Logs or Bro Logs, or Bro or Zeek, depending on how old you are. While they have 90% of those fields, they're still missing some fields. In very rare instances, some community rules do not have the fields that they need, and we had to modify community rules for our logs. So, their biggest area of improvement would be to just finish their matching of the Zeek standard."
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.
We monitor all Network Detection and Response (NDR) 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.