LogRhythm UEBA [EOL] vs Vectra AI comparison

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LogRhythm UEBA [EOL]

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Executive SummaryUpdated on Jul 24, 2025

Vectra AI and LogRhythm UEBA compete in threat detection and response solutions. Vectra AI appears to have the upper hand due to its comprehensive AI-driven detection capabilities and broad visibility across attack lifecycles.

Features: Vectra AI is known for aggregating alerts, AI-driven threat detection, and visibility across the attack lifecycle. Its risk scoring provides actionable insights for threat triage. LogRhythm UEBA focuses on user behavior analysis, server threat hunting, and privilege account monitoring, using machine learning for anomaly detection.

Room for Improvement: Vectra AI users seek better integration with SIEMs, more host-level visibility, and fewer noisy alerts during upgrades. LogRhythm UEBA users advocate for improved pricing, richer use case libraries, and enhanced machine learning capabilities, with a focus on better data aggregation and risk quantification.

Ease of Deployment and Customer Service: Vectra AI supports on-premises, public, and hybrid deployments with responsive technical support. LogRhythm UEBA is primarily on-premises, offering professional support, which some find costly. Vectra AI's deployment flexibility gives it an advantage.

Pricing and ROI: Vectra AI is perceived as expensive, valued for reducing response times and boosting security efficiency, with its licensing model potentially limiting expansive deployment. LogRhythm UEBA offers a subscription model seen as budget-friendly by some, but may be considered costly with chosen modules. Vectra AI offers better long-term value through enhanced security operations.

To learn more, read our detailed Extended Detection and Response (XDR) Report (Updated: July 2025).

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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 UEBA [EOL]

Average Rating

7.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Vectra AI

Average Rating

8.6

Reviews Sentiment

7.1

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) (19th), Identity Threat Detection and Response (ITDR) (10th), AI-Powered Cybersecurity Platforms (6th)

Featured Reviews

Sheikh Abu Ayub Azad

CEO at Trustaira

Great at managing cyber incidents; the technical support could be improved

The initial setup is easy, partly because LogRhythm is primarily based on the Windows platform. It's good to have two engineers for deployment but it can be done with one. It's more about the knowledge. Deployment is typically done in two or three different phases. It usually takes up to three full months to get good deployment. There's the initial onboarding of all the log sources, then collecting data in the data lake, followed a couple of weeks later with some minor tuning before the final tuneup.

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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

"The solution is useful for privilege accounts and super admin accounts. It is beneficial from a security perspective. The tool uses machine learning rather than threshold-based alerts. For instance, it can detect unusual user logins, such as a user logging in from a new browser or location."

"It has a lot of features. It has file integration monitoring."

"The tool's most valuable feature is server threat hunting."

"The most valuable features are file activity monitoring and registry activity monitoring."

"I can investigate attacks more quickly using machine learning tools."

"I typically use the product for reducing cyber risk, and I can investigate attacks more quickly using machine learning tools."

"What I like most about LogRhythm UEBA is that it allows you to identify and analyze end-user behaviors and suspicious activities within the systems."

"It is easy to monitor users and that is how the solution is adding value to our firm."

More LogRhythm UEBA [EOL] pros

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

"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."

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

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

"There are many detection features available."

"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 valuable feature for Cognito Detect, the main solution, is that external IDS's create a lot of alerts. When I say a lot of alerts I really mean a lot of alerts. Vectra, on the other hand, contextualizes everything, reducing the number of alerts and pinpointing only the things of interest. This is a key feature for me. Because of this, a non-trained analyst can use it almost right away."

"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

"The UI could be improved a little bit."

"The product should improve its dashboards. Splunk has neat dashboards. Additionally, we would like to enhance the use cases provided by LogRhythm as its use case library is not as extensive as other tools. Its machine-learning capabilities need to improve when compared to other solutions. It lacks risk quantification in a single, transparent view for individuals such as CSOs."

"The search feature needs to be improved."

"The on-premises LogRhythm is not very scalable. When considering packets per second or the MPS needed for additional logs such as web application logs, scalability is usually found in cloud products."

"It would be helpful if there were more guidance provided for integrating with unsupported devices."

"LogRhythm UEBA's data aggregation needs to be improved. Open-source users do not have much documentation available. Documentation is available only for enterprise users."

"The product could be user-friendly for someone who doesn’t have any prior experience working with it."

"In general, if something needs to be improved in the algorithm, it would be the dashboards."

More LogRhythm UEBA [EOL] cons

"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."

"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."

"One area where there's room for improvement is the absence of a comprehensive TCP recording and replay feature."

"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."

"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 would like to see a bit more strategic metrics instead of technical data. Information that I could show to my executive management team or board would be valuable."

"One of the things I am not so happy about when it comes to Vectra is the scoring board."

More Vectra AI cons

Pricing and Cost Advice

"LogRhythm UEBA's pricing is affordable for small and medium businesses."

"It is quite a budget-friendly product."

"Licensing is on a yearly basis. It's not expensive compared to its competitors."

"The pricing is nice when compared to other products in the industry."

"As LogRhythm UEBA is pretty expensive, I'd give its pricing a seven out of ten."

"I rate the product's pricing a three out of ten. However, the cloud version is expensive. You need to hire professional services for deployment and migrations, which can be expensive."

"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."

"Cost is a big factor, as always. However, I think we have a very good price–performance ratio."

"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."

"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."

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

"The solution is low-cost and affordable."

"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'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."

More Vectra AI pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

13%

Financial Services Firm

Retailer

Comms Service Provider

Financial Services Firm

13%

Computer Software Company

11%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about LogRhythm UserXDR?

The solution is useful for privilege accounts and super admin accounts. It is beneficial from a security perspective. The tool uses machine learning rather than threshold-based alerts. For instance...

What is your experience regarding pricing and costs for LogRhythm UserXDR?

I rate the product's pricing a three out of ten. However, the cloud version is expensive. You need to hire professional services for deployment and migrations, which can be expensive.

What needs improvement with LogRhythm UserXDR?

In general, if something needs to be improved in the algorithm, it would be the dashboards. The dashboards with solutions such as Splunk are very neat and clean. I would also like to improve the us...

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

User Entity Behavior Analytics (UEBA)

Download LogRhythm UEBA [EOL] product report

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Also Known As

LogRhythm UserXDR, LogRhythm Enterprise UEBA

Vectra Networks, Vectra AI NDR

Overview

LogRhythm UEBA [EOL] offers advanced threat detection with an intuitive interface, utilizing correlation, behavior analysis, and machine learning to monitor server threats and privileged accounts effectively.

LogRhythm UEBA [EOL] provides comprehensive user behavior analytics and threat hunting capabilities, making use of customizable dashboards, reporting tools, file and registry monitoring. CloudAI adds depth by identifying unknown activities, enhancing network visibility and cyber risk reduction through constant monitoring. Users in Sri Lanka find it valuable for network stability, while other users leverage it for improved user monitoring and quick attack investigation. Despite its strong features, enhancements in integration, pricing in Asia, and documentation could improve its adoption.

What are the key features of LogRhythm UEBA [EOL]?

Intuitive Graphical Interface: Provides a user-friendly experience tailored to cybersecurity needs.
Customizable Dashboards: Offers personalized monitoring views and reporting capabilities.
Effective Reporting Tools: Enhances incident analysis and decision-making with detailed insights.
Machine Learning: Identifies patterns in user behavior, detecting anomalies efficiently.
CloudAI: Detects unknown activities, improving threat identification accuracy.

What benefits can users expect from LogRhythm UEBA [EOL]?

Enhanced Threat Detection: Increases network safety through comprehensive monitoring.
Improved Network Visibility: Facilitates better management of cybersecurity resources.
Quick Attack Investigation: Reduces time to detect and respond to threats.
Cyber Risk Reduction: Employs machine learning to address potential security gaps proactively.

In the financial sector, LogRhythm UEBA [EOL] is implemented to monitor privileged accounts and identify suspicious transactions swiftly. Healthcare organizations use it to safeguard sensitive patient data through behavior analysis. Manufacturing firms apply it to protect intellectual property and ensure compliance with industry regulations. Across these industries, the adaptability and analytics of LogRhythm UEBA [EOL] offer a strategic approach to cybersecurity management.

Exabeam

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

Information Not Available

Tribune Media Group, Barry University, Aruba Networks, Good Technology, Riverbed, Santa Clara University, Securities Exchange, Tri-State Generation and Transmission Association

Extended Detection and Response (XDR)