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

"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 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."

"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."

"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."

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

"One of the key advantages for us is we define a 24/7 service around it. We use far more of Vectra alerts than we do with our SIEM product because we understand that when we get an alert from Vectra we actually need to do something about it."

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

"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."

"We discovered a lot of things in our network and are correcting several misconfigurations. We are learning how some apps work together and how some things shouldn't happen. It's also easier for us to identify the source of a brute force, whereas before, we didn't even know we had a brute force."

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."

"You are always limited with visibility on the host due to the fact that it is a network based tool. It gives you visibility on certain elements of the attack path, but it doesn't necessarily give you visibility on everything. Specifically, the initial intrusion side of things that doesn't necessarily see the initial compromise. It doesn't see stuff that goes on the host, such as where scripts are run. Even though you are seeing traffic, it doesn't necessarily see the malicious payload. Therefore, it's very difficult for it to identify these type of host-driven complex attacks."

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

"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."

"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."

"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."

"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."

"The solution needs to become more proactive. When Vectra AI is the primary solution in an environment - like it is in our case - you must work on response time. We have a small team so response time at endpoint level is vital."

More Vectra AI cons

Pricing and Cost Advice

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

"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."

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

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

"Vectra AI is not a cheap solution."

"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."

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

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

"The license is based on the concurrent IP addresses that it's investigating. We have 9,800 to 10,000 IP addresses."

"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."

"Vectra's licensing model could scale to our research network, which has multiple, 100-gigabit links."

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)