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LogRhythm NDR vs Vectra AI comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 6, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

LogRhythm NDR
Ranking in Network Detection and Response (NDR)
18th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Vectra AI
Ranking in Network Detection and Response (NDR)
2nd
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
45
Ranking in other categories
Intrusion Detection and Prevention Software (IDPS) (3rd), Extended Detection and Response (XDR) (14th), Identity Threat Detection and Response (ITDR) (10th), AI-Powered Cybersecurity Platforms (6th)
 

Mindshare comparison

As of May 2025, in the Network Detection and Response (NDR) category, the mindshare of LogRhythm NDR is 0.8%, down from 1.0% compared to the previous year. The mindshare of Vectra AI is 16.2%, down from 17.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Detection and Response (NDR)
 

Featured Reviews

AshishDubey - PeerSpot reviewer
A scalable and stable tool that offers users a great GUI
Though I have not extensively worked on LogRhythm NDR, I know the need for a compute side since, in the past, we had required the compute side to deploy the solution in one of our company's client's infrastructure. The product's setup phase was easy and not complicated. The deployment process of LogRhythm NDR can vary between three and four weeks, depending on the skill set of the people involved in the deployment process. For deployment of the product, you have to purchase the license from LogRhythm, and you have to ensure that the compute side is ready for LogRhythm. After you deploy NDR and sensors in the premises of our company's customer on the SPAN and TAP port, and once the logs go through throughput, you can see the logs coming to LogRhythm NDR's console.
Mohammad Alkurdi - PeerSpot reviewer
Innovative detection features enhance monitoring
The advantages of the integration are not entirely out-of-the-box. You have to do it manually. When I'm doing tier response, an out-of-the-box solution is not available. You need to have a Linux server, and from the Linux server, you must perform AI tasks, and there is a lot to be handled in the back end. This is a major consideration about them. The recall feature, if it can be placed in some areas instead of the cloud, and charged for, would be better. Recall the storage where you watch all the traffic, and you can recall it and try to analyze it in the back end. It’s cloud-based. If they offer it on-prem, it would be better. I think they have a solution, but I have never tested it, to be honest with you.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It is a stable solution...It is a scalable solution."
"The solution doesn't require the creation of rules or use cases from scratch, which assists our delivery team in installation and deployment. Its dashboard is user-friendly."
"It's an excellent security tool with a user-friendly interface that's easy for anyone to use."
"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."
"It keeps up with the network traffic, which is a good thing. It provides more context to plain alerts compared to using an older system. So, it helps an analyst reduce the information overload."
"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 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."
"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."
"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."
"The solution is currently used as a central threat detection and response system."
 

Cons

"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."
"There are opportunities for improvement, particularly in upgrading the expertise of local professionals and addressing support issues, which could potentially lead to cost reduction."
"The tool has one limitation compared to its competitors. It does have a mobile app for NDR monitoring. Moreover, there is only operational training and not deployment training."
"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."
"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 a bit more strategic metrics instead of technical data. Information that I could show to my executive management team or board would be valuable."
"Multiple appliances are required for Vectra AI, making it less convenient compared to competitors."
"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."
"For S&D account scans, it would be easier if Vectra AI could triage with users. If a client uses a lot of accounts, then it could indicate that these accounts are benign, for example. That would help a lot."
"We are using SMB 3.0, which is an encrypted protocol. When we get some alerts or something, we cannot go deep into the protocol to see what's wrong because it's encrypted. We need to decrypt the protocol in another way, which is quite difficult. We might go back to SMB 2.0 just for this reason, but that's not a good solution."
"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."
 

Pricing and Cost Advice

"There are certain payments to be made towards the licensing costs attached to the product yearly. The pricing of LogRhythm NDR falls under the mid-range, in my opinion."
"The tool costs are two million rupees for 5000 users."
"When looking at the market and comparing it with other vendors, the cost seems relatively high."
"Its cost is too much. It's an investment that we can afford. It's a lot, but it's worth it."
"We are running at about 90,000 pounds per year. The solution is a licensed cost. The hardware that they gave us was pretty much next to nothing. It is the license that we're paying for."
"Vectra AI is not a cheap solution."
"Cost is a big factor, as always. However, I think we have a very good price–performance ratio."
"The upfront pricing model that we have would have been more beneficial if it had been a recurring license fee, but that wasn't a massive issue for us. It's fairly priced."
"The solution is low-cost and affordable."
"Vectra AI's pricing is cheaper than that of Darktrace."
"From a pricing perspective, they are very commercially competitive. From a licensing perspective, just be conscious that some of their future cloud solutions come with additional subscriptions. Also, if you're outside of the US, you will get charged freight for the device back to your country."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Computer Software Company
13%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about LogRhythm NDR?
It is a stable solution...It is a scalable solution.
What needs improvement with LogRhythm NDR?
The tool has one limitation compared to its competitors. It does have a mobile app for NDR monitoring. Moreover, there is only operational training and not deployment training.
What is the biggest difference between Corelight and Vectra AI?
The two platforms take a fundamentally different approach to NDR. Corelight is limited to use cases that require the eventual forwarding of events and parsed data logs to a security team’s SIEM or ...
What do you like most about Vectra AI?
The solution is currently used as a central threat detection and response system.
What is your experience regarding pricing and costs for Vectra AI?
It is very acceptable when you compare it with Darktrace, for example.
 

Comparisons

 

Also Known As

LogRhythm MistNet
Vectra Networks, Vectra AI NDR
 

Overview

 

Sample Customers

EMW, Conduent, University of Massachusetts, Deloitte Canada, Central Bank of Barbados, Coalfire
Tribune Media Group, Barry University, Aruba Networks, Good Technology, Riverbed, Santa Clara University, Securities Exchange, Tri-State Generation and Transmission Association
Find out what your peers are saying about LogRhythm NDR vs. Vectra AI and other solutions. Updated: April 2025.
850,671 professionals have used our research since 2012.