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) (5th), Network Detection and Response (NDR) (2nd), Extended Detection and Response (XDR) (16th), 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."

"The solution is currently used as a central threat detection and response system."

"It provides various dashboards that facilitate the identification of connections and can detect data exfiltration, meaning data sent from your environment to another."

"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."

"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."

"The packet-capturing feature is very useful."

"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 provide visibility into behaviors across the full lifecycle of an attack in our network, beyond just the Internet gateway. It makes our security operations much more effective because we are now looking not just at traffic on the border, but we're looking at east-west internal traffic. Now, not only will we see if an exploit kit is being downloaded, but we would be able to see then if that exploit kit was then laterally distributed into our environment."

"It has helped us to organize our security. We get a better overview on what is happening on the network, which has helped us get quicker responses to users. If we see malicious activity, then we can quickly take action on it. Previously, we weren't getting an overview as fast as we are now, so we can now provide a quicker response."

More Vectra AI pros

Cons

"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 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."

"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."

"It does a little bit of packet capture on alert so you can look at the packet capture activity going on, but it doesn't collect a whole lot of data. Sometimes it's only one or two frames, sometimes it does collect more. That's why they have the addition of their Recall platform, because that really does help expand the capability."

"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."

"Multiple appliances are required for Vectra AI, making it less convenient compared to competitors."

"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."

"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."

"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."

"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."

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."

"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."

"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."

"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 licensing is on an annual basis."

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

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

"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."

"The solution is low-cost and affordable."

More Vectra AI pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

10%

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)