LogRhythm NDR [EOL] vs Vectra AI comparison

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LogRhythm NDR [EOL]

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Executive SummaryUpdated on Oct 26, 2025

Vectra AI and LogRhythm NDR compete in the network detection and response market. Vectra AI appears to have the upper hand due to its advanced analytics and automation capabilities, which are crucial for businesses prioritizing rapid threat detection.

Features: Vectra AI offers AI-driven detection algorithms, automated threat hunting, and rapid threat identification and response, making it suitable for environments needing quick threat management. LogRhythm NDR provides forensic analysis tools, integrated log management, and a comprehensive security suite, offering a broad approach to network security.

Ease of Deployment and Customer Service: Vectra AI allows for an easy deployment with its cloud-based model, minimizing onsite requirements while offering comprehensive onboarding support. LogRhythm NDR, leveraging its established framework, offers solid customer service but may face challenges due to its legacy systems requiring more complex integration.

Pricing and ROI: Vectra AI's pricing correlates with its advanced features, offering strong ROI for those in need of state-of-the-art threat analytics. LogRhythm NDR, though cost-effective for log management, might necessitate further investment in its broader security ecosystem to realize its benefits fully.

To learn more, read our detailed Network Detection and Response (NDR) Report (Updated: January 2026).

Network Detection and Response (NDR)

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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 [EOL]

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Vectra AI

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Intrusion Detection and Prevention Software (IDPS) (4th), Network Detection and Response (NDR) (2nd), Extended Detection and Response (XDR) (15th), Identity Threat Detection and Response (ITDR) (11th), AI-Powered Cybersecurity Platforms (6th)

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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RahulReddy

Consultant at a retailer with 5,001-10,000 employees

Threat detection has improved and malicious emails are now identified quickly

Vectra AI offers artificial intelligence capabilities with visibility that can be integrated into our day-to-day operations and other tools, including malware detection tools and cyber threat tools. Vectra AI has positively impacted my organization. Last year while using it, we received many malicious email threats and virus incidents, including a trojan virus that had reportedly been deployed by someone. Our company used Vectra AI to detect the malicious threats and viruses before they could cause more damage, and we successfully stopped the threats. Using Vectra AI, I notice that server downtime has decreased significantly. We now experience only two to three hours of downtime, whereas without Vectra AI and other tools, our downtime would exceed 48 to 72 hours.

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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

"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."

"It is a stable solution...It is a scalable solution."

"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."

"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."

"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."

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

"Vectra AI has positively impacted my organization; last year while using it, we received many malicious email threats and virus incidents, including a trojan virus that had reportedly been deployed by someone, and our company used Vectra AI to detect the malicious threats and viruses before they could cause more damage, and we successfully stopped the threats."

"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."

"Using this tool for automation has provided more benefits to our processes."

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

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."

"Other alternatives, like Darktrace, have a fancier UI."

"Vectra AI could be improved by focusing on all threat types, not only malicious threats or virus threats."

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

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

"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."

"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."

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

"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."

More Vectra AI cons

Pricing and Cost Advice

"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."

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

"The licensing is on an annual basis."

"Their licensing model is antiquated. I'm not a fan of their licensing model. We have to pay for licensing based on four different things. You have to pay based on the number of unique IPs, the number of logs that we send through Recall and Stream, and the size of our environment. They need to simplify their licensing down to just one thing. It should be based on the amount of data, the number of devices, or something else, but there should be just one thing for everything. That's what they need to base their licensing on. Cost-wise, they're not cheap. They were definitely the most expensive option, but you get what you pay for. They're not the cheapest option."

"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 very good. It's less expensive than many of the tools out there."

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

"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."

"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."

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

More Vectra AI pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

11%

Computer Software Company

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	10
Large Enterprise	29

Questions from the Community

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 your primary use case for LogRhythm NDR?

Our use cases are mostly for mining, telco, finance, and banking industries.

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.

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Product Reports

Network Detection and Response (NDR)

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Also Known As

LogRhythm MistNet

Vectra Networks, Vectra AI NDR

Overview

LogRhythm NDR [EOL] was an innovative approach to network detection and response, facilitating enhanced threat monitoring and incident response.

LogRhythm NDR [EOL] offered comprehensive detection capabilities that enabled organizations to quickly identify and investigate network anomalies. It integrated seamlessly with security operations, providing meaningful insights and analysis for better threat management. The adaptable technology ensured it remained relevant despite the evolving threat landscape.

What were the key features?

Real-time Monitoring: Offers continuous oversight to promptly detect any suspicious activities
Anomaly Detection: Identifies irregular patterns to pre-empt potential cyber threats
Integration Capabilities: Easily integrates with existing security infrastructure for enhanced efficiency
Threat Intelligence: Leverages advanced data to assess and respond to security incidents

What benefits did LogRhythm NDR [EOL] offer?

Speedy Incident Response: Facilitates quick actions against detected threats to minimize risks
Cost Efficiency: Reduces potential financial losses by improving threat detection and response
Enhanced Security Posture: Strengthens defense mechanisms against sophisticated attacks
Operational Streamlining: Improves workflow efficiency with integrated security operations

LogRhythm NDR [EOL] found its place in diverse industries like finance and healthcare where it bolstered compliance and regulatory efforts. Its adaptable nature made it suitable for implementation across sectors with high-security demands.

Exabeam

Vectra AI offers advanced hybrid network and identity security, detecting threats traditional tools miss. It uses AI to identify lateral attacks and credential misuse, providing a proactive defense for enterprises.

Vectra AI enhances security by using AI-driven detection across network, cloud, and identity layers, surpassing EDR and SIEMs by offering real-time threat detection. It ensures continuous observability and automates SOC workflows to minimize manual efforts, creating an efficient security environment. Its AI-powered approach significantly reduces noise, focusing on true threats, and provides insights into complex threat landscapes, with seamless integration into environments like EDR and Office 365.

What are Vectra AI's key features?

AI-driven detection: Identifies lateral movement and credential misuse across networks.
Continuous observability: Monitors data centers, cloud, SaaS, and OT environments.
SOC automation: Reduces manual processes, lowering analyst fatigue.
Attack Signal Intelligence: Filters noise to deliver relevant alerts quickly.
Network visibility: Provides insight into encrypted traffic and unmanaged assets.

What benefits should users expect?

Improved threat detection: Faster identification of potential threats.
Efficiency in response: Automated processes free resources for high-impact tasks.
Reduced alert fatigue: Intelligent alerts reduce false positives.
Operational integration: Works seamlessly with existing platforms and tools.

Vectra AI is utilized across industries for comprehensive network and anomaly detection. Organizations deploy it for threat hunting and incident response, monitoring both on-premises and cloud activities. By placing sensors across sites, they optimize security practices and streamline their detection processes.

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

Network Detection and Response (NDR)