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: January 2025).

LogRhythm NDR vs. Vectra AI

January 2025

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Helped 831,158 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)

19th

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) (2nd), Extended Detection and Response (XDR) (9th), Identity Threat Detection and Response (ITDR) (5th), AI-Powered Cybersecurity Platforms (5th)

Mindshare comparison

As of January 2025, in the Network Detection and Response (NDR) category, the mindshare of LogRhythm NDR is 0.9%, down from 1.2% compared to the previous year. The mindshare of Vectra AI is 20.1%, up from 20.2% 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's an excellent security tool with a user-friendly interface that's easy for anyone to use."

"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 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 initial setup was pretty straightforward."

"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 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."

"One of the core features is that Vectra AI triages threats and correlates them with compromised host devices. From a visibility perspective, we can better track the threat across the network. Instead of us potentially finding one device that has been impacted without Vectra AI, it will give us the visibility of everywhere that threat went. Therefore, visibility has increased for us."

"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."

"Vectra is very compatible with various cloud providers, such as Amazon and Azure AD. This is helpful as customers often migrate their network infrastructure to the cloud."

"The automatic filtering that they provide is valuable. The logic inside that makes some detections instead of us is very useful. We are confident that if we are just looking into it and there is nothing, nothing could happen."

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."

"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."

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

"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'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."

"There could be an option where Vectra manages the solution remotely, and when there is an attack, there could be a notification center to give us information about the attack."

"Vectra Recall could be utilized much more, and I'm seeing some indications of that today with the investigative components. I use the Visualize feature to visualize components and dashboards a lot. I'm interested in new ways to build automated searches or having them leveraged already from Vectra."

"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."

"A blind spot that I have is around the ease with which you can automate threat intervention."

"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."

More Vectra AI cons

Pricing and Cost Advice

"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."

"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."

"We have a desire to increase our use. However, it all comes down to budget. It's a very expensive tool that is very difficult to prove business support for. We would like to have two separate networks. We have our corporate network and PCI network, which is segregated due to payment processing. We don't have it for deployed in the PCI network. It would be good to have it fully deployed there to provide us with additional monitoring and control, but the cost associated with their licensing model makes it prohibitively expensive to deploy."

"It is an expensive solution, but it's not the most expensive we've seen. We also know how much we're going to pay, unlike with some other providers where all of a sudden our license explodes."

"The pricing is high."

"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."

"The pricing and licensing are quite straightforward because they're based on the IP licenses. As a result, they are easy to count."

"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."

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

More Vectra AI pricing and cost advice

See which vendors are best for you

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Top Industries

By visitors reading reviews

Computer Software Company

14%

Manufacturing Company

12%

Government

10%

Financial Services Firm

10%

Computer Software Company

15%

Financial Services Firm

12%

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?

Vectra is cheaper in terms of pricing and features compared to Darktrace.

Darktrace vs LogRhythm NDR

Comparisons

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Compared 35% of the time

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Compared 35% of the time

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Compared 12% 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

Corelight vs Vectra AI

Compared 5% of the time

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Product Reports

Network Detection and Response (NDR)

December 2024

Download LogRhythm NDR product report

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December 2024

Also Known As

LogRhythm MistNet

Vectra Networks, Vectra AI NDR

Learn More

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LogRhythm

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.

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