LogRhythm UEBA [EOL] vs Vectra AI comparison

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LogRhythm UEBA [EOL]

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Executive SummaryUpdated on Oct 26, 2025

Vectra AI and LogRhythm UEBA compete in the threat detection and response category. Vectra AI appears to have the upper hand due to its advanced AI integration and alert consolidation capabilities.

Features: Vectra AI focuses on reducing alert fatigue by consolidating multiple alerts into a single incident, integrating AI for enhanced threat detection, and providing detailed insights into network behavior. LogRhythm UEBA, in contrast, prioritizes user behavior analytics using machine learning, dashboard usability, and seamless integration with existing security infrastructures.

Room for Improvement: Vectra AI users seek better integration with security products, improved false positive management, and more customization options. A broader focus on operational technology threats could be beneficial. LogRhythm UEBA could enhance data aggregation and machine learning capabilities and expand its use case library for improved detection efficiency.

Ease of Deployment and Customer Service: Vectra AI offers flexible deployment options across on-premises, public, and hybrid cloud environments and is praised for its responsive technical support. LogRhythm UEBA is mostly on-premises, with support effectiveness varying based on the service engineer, although generally considered responsive.

Pricing and ROI: Vectra AI is seen as expensive, with a complex licensing model but delivers significant ROI in high-security environments through improved detection and efficiency. LogRhythm UEBA is more budget-friendly, especially for small to medium businesses, though expensive compared to specific solutions, offering ROI by reducing security threat impacts and improving response times.

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

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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

7.2

Reviews Sentiment

6.5

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

Venda E

Cloud Option Engineer at a tech vendor with 10,001+ employees

Behavior analytics has improved insider threat detection and reduces false positives for our team

The best features LogRhythm UEBA [EOL] offers are its behavioral balancing, baselining, risk scoring, and correlation with SIEM events, and what stands out most is risk scoring, which gives clear visibility into which user behaviors are genuinely risky and helps our team to focus on the highest priority threats without drowning in noise. Risk scoring helps us to quickly identify which users' activity needs immediate attention by clearly ranking threats based on impact and likelihood; it changes our day-to-day operations by reducing time spent on low-risk alerts and allowing the team to prioritize investigations and response actions more effectively and consistently. LogRhythm UEBA [EOL] has positively impacted our organization by improving our ability to detect insider threats and compromised accounts earlier, resulting in better security visibility, reduced false positives, and faster investigations and response times, which helped the team operate more effectively with greater confidence. I observed a noticeable reduction in false positive alert volume, which shortened the investigation time per incident, improving the mean time to detect and respond, and helping identify high-risk user activities earlier, which prevented potential security incidents from escalating.

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

"LogRhythm UEBA’s best feature is the dashboard. It provides several graphs, charts, and event logs."

"LogRhythm UEBA [EOL] has positively impacted our organization by improving our ability to detect insider threats and compromised accounts earlier, resulting in better security visibility, reduced false positives, and faster investigations and response times, which helped the team operate more effectively with greater confidence."

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

"Good capability pinpointing specific cyber incidents."

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

"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."

"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."

More LogRhythm UEBA [EOL] pros

"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."

"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."

"Vectra AI generates relevant information."

"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."

"Our company used Vectra AI to detect the malicious threats and viruses before they could cause more damage, and we successfully stopped the threats."

"Vectra AI can bring the ability to detect intrusion on the network more so than legacy IDS tools."

"It is doing some artificial intelligence. If it sees a server doing a lot of things, then it will assume that is normal. So, it is looking for anomalous behavior, things that are out of context which helps us reduce time. Therefore, we don't have to look in all the logs. We just wait for Vectra to say, "This one is behaving strange," then we can investigate that part."

More Vectra AI pros

Cons

"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."

"LogRhythm UEBA [EOL] could be improved with more flexible tuning options and clearer model transparency to better understand why certain behaviors are flagged; enhanced integrations with additional data sources and more intuitive dashboards would also help improve usability and investigation efficiency."

"The search feature needs to be improved."

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

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

"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 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."

"What needs improvement in LogRhythm UEBA is the pricing. Here in Asia, for example, in Sri Lanka, pricing is the primary concern, and this is the only area for improvement I see in the product."

More LogRhythm UEBA [EOL] cons

"ExtraHop has better features that seem more advantageous when compared to Vectra."

"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."

"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."

"We had another product with Vectra AI and used the MDR solution as an add-on. Initially, it wasn't fully appropriately configured, so we didn't get the expected results. Even once configured correctly, we weren't fully satisfied with its response. The issue was both with their service response and the product's capabilities."

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

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

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

"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

"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."

"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."

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

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

"My company pays for the Vectra AI licensing fee yearly. I know the figure because my company recently renewed the license, and it's okay, at least for the financial sector."

"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."

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

"From a licensing perspective, the Vectra detect platform is pretty doable. Also, the hardware prices are nothing that we're not used to. The stream part is a little overpriced compared to the detect part. The reason is that you need to stream data to detect events anyway, so the data is in there. The only thing that's not available is the UI to be able to look at the stream data, which is also on the appliances but is just not activated. That's mainly the thing that we want to improve on."

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

"The pricing is high."

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

More Vectra AI pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

12%

Retailer

10%

Financial Services Firm

10%

Manufacturing Company

Financial Services Firm

11%

Computer Software Company

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	4
Large Enterprise	4

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

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

LogRhythm UEBA [EOL]

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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 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

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)