LogRhythm NDR vs Vectra AI comparison

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LogRhythm NDR

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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: March 2025).

LogRhythm NDR vs. Vectra AI

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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) (15th), Identity Threat Detection and Response (ITDR) (10th), AI-Powered Cybersecurity Platforms (6th)

Mindshare comparison

As of April 2025, in the Network Detection and Response (NDR) category, the mindshare of LogRhythm NDR is 0.7%, down from 1.1% 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.

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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.

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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."

"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."

"It gives you access, with Recall, to instant visibility into your network through something like a SIEM solution. For us, being able to correlate all of this network data without having to manage it, has provided immediate value. It gives us the ability to really work on the stuff where I and my team have expertise, instead of having to manage a SIEM 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 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."

"Scalability wise, we have many sensors, and Vectra AI seems to handle them all very well."

"It is doing some artificial intelligence. If it sees a server doing a lot of things, then it will assume that is normal. So, it is looking for anomalous behavior, things that are out of context which helps us reduce time. Therefore, we don't have to look in all the logs. We just wait for Vectra to say, "This one is behaving strange," then we can investigate that part."

"One of the most valuable features of the platform is its ability to provide you with aggregated risk scores based on impact and certainty of threats being detected. This is both applied to individual and host detections. This is important because it enables us to use this platform to prioritize the most likely imminent threats. So, it reduces alert fatigue follow ups for security operation center analysts. It also provides us with an ability to prioritize limited resources."

More Vectra AI pros

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."

"There is room for improvement in the documentation. We would like to have more details on how it detects what we see."

"I think Vectra AI's automation, reporting, and integration could be improved."

"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."

"Neither Vectra nor Darktrace have a function like a status health check on my log sources and traffic sources."

"The main improvement I can see would be to integrate with more external solutions."

"The UI/UX and detection could be improved. More detections of specific security events could be useful. We've had a few incidents that were not detected by Vectra. The teams are working on it right now, but more detection is always better."

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

"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."

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."

"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's pricing is cheaper than that of Darktrace."

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

"There are additional features that can be purchased in addition to the standard licensing fee, such as Cognito Recall and Stream."

"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."

"My company pays for the Vectra AI licensing fee yearly. I know the figure because my company recently renewed the license, and it's okay, at least for the financial sector."

"At the time of purchase, we found the pricing acceptable. We had an urgency to get something in place because we had a minor breach that occurred at the tail end of 2016 to the beginning of 2017. This indicated we had a lack of ability to detect things on the network. Hence, why we moved quickly to get into the tool in place. We found things like Bitcoin mining and botnets which we closed quickly. In that regard, it was worth the money."

"The pricing is high."

More Vectra AI pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

17%

Manufacturing Company

12%

Marketing Services Firm

10%

Financial Services Firm

10%

Financial Services Firm

13%

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 100% of the time

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Compared 32% of the time

ExtraHop Reveal(x) vs Vectra AI

Compared 11% of the time

Corelight vs Vectra AI

Compared 6% of the time

Cisco Secure Network Analytics vs Vectra AI

Compared 6% of the time

Arista NDR vs Vectra AI

Compared 6% of the time

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Product Reports

Network Detection and Response (NDR)

Download LogRhythm NDR product report

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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

LogRhythm NDR vs. Vectra AI