LogRhythm NDR vs Vectra AI comparison

Read 45 Vectra AI reviews

7,401 Views
3,891 Comparison Views

97% willing to recommend

LogRhythm NDR

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Nov 6, 2024

Vectra AI and LogRhythm NDR compete in network detection and response solutions, focusing on threat detection and response capabilities. While LogRhythm NDR's robust feature set gives it a slight advantage, Vectra AI is praised for its advanced AI-driven analytics.

Features: Vectra AI focuses on AI-powered threat detection, quick identification of behavioral anomalies, and efficient threat prioritization. LogRhythm NDR is preferred for its in-depth log management, comprehensive network visibility, and SIEM integration. Vectra's AI insights contrast with LogRhythm's extensive data integration, showcasing their distinct strengths.

Ease of Deployment and Customer Service: Vectra AI provides a straightforward cloud-based deployment with responsive customer support, enabling seamless integration into existing infrastructures. LogRhythm NDR offers both on-premise and hybrid deployment models with highly rated support services. However, its deployment may require more initial configuration. Both brands receive praise for support, with LogRhythm's observability tools often needing more customization.

Pricing and ROI: Vectra AI generally involves higher upfront setup costs but delivers substantial ROI through advanced threat detection efficiency. LogRhythm NDR provides cost-effective scalability with notable ROI from its comprehensive analysis capabilities. LogRhythm can be more appealing financially due to lower initial costs and effective threat management, though Vectra's cost is justified by its AI sophistication.

To learn more, read our detailed LogRhythm NDR vs. Vectra AI Report (Updated: April 2025).

LogRhythm NDR vs. Vectra AI

April 2025

Download the complete report

Helped 851,604 peers since 2012

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

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

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

Product manager at Tata Communications Ltd

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.

Read full review

Mohammad Alkurdi

Owner at Fortibits

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.

Read full review

Quotes from Members

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

Pros

"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 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."

"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 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."

"Vectra AI is the best. It is a major product in our cybersecurity."

"The most useful feature is the anomaly detection because it's not signature-based. It picks up the initial part of any attack, like the recon and those aspects of the kill chain, very well."

"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."

"What I like best about Vectra AI is that it alerts you about suspicious activities."

"One of the most valuable features is all the correlation that it does using AI and machine learning. An example would be alerting on a host and then alerting on other things, like abnormal behavior, that it has noticed coming from the same host. It's valuable because we're a very lean team."

"The UI is easy to use and when we send detection to everybody, they easily understand what we are asking at the time."

More Vectra AI pros

Cons

"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."

"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 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."

"The solution's marketing is not good."

"One of the things that we are missing a bit is the capability to add our own rules to it. At the moment, the tech engine does its thing, but we have some cool ideas to make additional rules. There should be an option in the platform to add custom rules, or there should be some kind of user group where we can suggest them for the roadmap and see if they get evaluated and get transparent communication on whether they will be implemented in the product or not."

"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'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."

"In education as a sector, we are looking at AI a lot in terms of how it can be used as part of the teaching and learning side of things. It would be great to have Vectra AI look at a better way to enhance the security posture related to the AI tools in our portfolio."

"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 false positives and the tuning side of it is something that could use improvement. But that could be from our side."

More Vectra AI cons

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."

"When looking at the market and comparing it with other vendors, the cost seems relatively high."

"The tool costs are two million rupees for 5000 users."

"Its cost is too much. It's an investment that we can afford. It's a lot, but it's worth it."

"Vectra's pricing is too high. All schools will not be able to afford it. Vectra will only end up targeting higher education and higher value independence purely because of the price. A lot of schools would love to have a product like Vectra AI, but they simply can't because they struggle to even pay the high E5 licensing from Microsoft. When you're up against that, Vectra AI is never going to be within the sector's price range."

"Vectra is a bit on the higher side in terms of price, but they have always been transparent. The reason that they are this good is that they invest, so they need to charge accordingly."

"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."

"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."

"It's relatively on the pricier side, but when compared to other solutions. It's not the most budget-friendly option, but it can be considered somewhat more cost-effective in comparison to other alternatives."

"The pricing is high."

"The solution's pricing was 50 percent lower than the other vendors shortlisted."

More Vectra AI pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Network Detection and Response (NDR) solutions are best for your needs.

See recommendations

851,604 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

14%

Computer Software Company

13%

Manufacturing Company

Government

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 is your experience regarding pricing and costs for LogRhythm NDR?

The tool costs are two million rupees for 5000 users.

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.

Darktrace vs LogRhythm NDR

Comparisons

Compared 52% of the time

NetWitness NDR vs LogRhythm NDR

Compared 48% of the time

More LogRhythm NDR Competitors

Darktrace vs Vectra AI

Compared 31% of the time

ExtraHop Reveal(x) vs Vectra AI

Compared 10% of the time

Corelight vs Vectra AI

Compared 7% of the time

Cisco Secure Network Analytics vs Vectra AI

Compared 6% of the time

Arista NDR vs Vectra AI

Compared 5% of the time

More Vectra AI Competitors

Product Reports

Network Detection and Response (NDR)

May 2025

Download LogRhythm NDR product report

Download Vectra AI product report

April 2025

Also Known As

LogRhythm MistNet

Vectra Networks, Vectra AI NDR

Overview

Securing your network against advanced persistent threats (APTs) requires greater visibility to detect actors and their actions so that you can reduce your response time. As threats increase, real-time network detection and response (NDR) solutions are more critical than ever.

While other NDR solutions rely solely on machine learning (ML) based threat detection, LogRhythm uses hybrid analytics that combine machine learning, rules-based detection, and threat intelligence to analyze network, user, and host activity. This holistic approach provides a true representation of all activity within the enterprise domain, making it possible to detect lateral movement, exfiltration, malware compromise, ransomware, and other threats in real time.

LogRhythm

Vectra AI is used for detecting network anomalies and potential malicious activities, providing visibility into network traffic and enhancing threat detection across environments.

Organizations deploy Vectra AI mainly on-premises with additional cloud components. It helps with compliance, incident response, security monitoring, detecting insider threats, and correlating network events. Vectra AI captures and enriches network metadata, provides detailed dashboards, reduces false positives, and supports cross-environment behavioral analysis to enhance threat detection and prioritization. While valued for its high accuracy and alert aggregation, it has room for improvement in UI/UX, packet management, and integration with SIEMs and other tools. It is noted for expensive pricing and limited proactive threat response features.

What are Vectra AI's most valuable features?

High accuracy in identifying threat locations
Aggregation of alerts into single incidents
24/7 threat detection
Visibility into the entire attack lifecycle
Risk score aggregation
Effective triaging of alerts
Integration with other tools

What benefits or ROI should users look for?

Enhanced threat detection and prioritization
Comprehensive network visibility
Reduction in false positives
Better incident response capabilities
Improved compliance monitoring

In specific industries, Vectra AI is deployed to monitor complex networks and alleviate challenges in threat detection. It is particularly effective in sectors requiring stringent compliance and security measures, offering insights and capabilities crucial for protecting sensitive data and maintaining operational integrity.

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