Lumu vs Vectra AI comparison

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Lumu

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Executive SummaryUpdated on Oct 8, 2024

Vectra AI and Lumu are competitors in the cybersecurity sector. Lumu has the upper hand with superior features and dynamic threat management despite higher costs.

Features: Vectra AI offers advanced threat detection, robust network monitoring, and comprehensive data analytics. Lumu delivers fast threat identification, actionable intelligence, and real-time threat intelligence.

Room for Improvement: Vectra AI needs better real-time alerting algorithms, streamlined integration processes, and more intuitive configuration settings. Lumu could enhance data consolidation, expand compliance reporting capabilities, and improve data correlation features.

Ease of Deployment and Customer Service: Vectra AI provides easy deployment with comprehensive customer support aiding integration. Lumu allows quick deployment but has mixed customer service feedback, offering flexible deployment models.

Pricing and ROI: Vectra AI is seen as having favorable pricing with positive ROI perceptions. Lumu, despite a higher initial setup cost, is valued for its features and intelligence, providing satisfactory ROI due to its effective threat management.

To learn more, read our detailed Lumu vs. Vectra AI Report (Updated: September 2025).

Lumu vs. Vectra AI

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Helped 868,759 peers since 2012

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

Lumu

Ranking in Intrusion Detection and Prevention Software (IDPS)

11th

Ranking in Network Detection and Response (NDR)

6th

Ranking in Extended Detection and Response (XDR)

18th

Average Rating

9.2

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Vectra AI

Ranking in Intrusion Detection and Prevention Software (IDPS)

5th

Ranking in Network Detection and Response (NDR)

2nd

Ranking in Extended Detection and Response (XDR)

16th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Identity Threat Detection and Response (ITDR) (9th), AI-Powered Cybersecurity Platforms (6th)

Mindshare comparison

As of October 2025, in the Intrusion Detection and Prevention Software (IDPS) category, the mindshare of Lumu is 2.6%, up from 1.4% compared to the previous year. The mindshare of Vectra AI is 8.0%, up from 7.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Intrusion Detection and Prevention Software (IDPS) Market Share Distribution
Product	Market Share (%)
Vectra AI	8.0%
Lumu	2.6%
Other	89.4%

Intrusion Detection and Prevention Software (IDPS)

Featured Reviews

Juan Solano

IT Director at Atlantic Quantum Innovations

Protects against threats and handles it in time with moderate pricing

Mostly, Lumu is an automatic tool. We'll deploy on firewalls and DNS servers. Lumu detects every attack on our network. The other day, we had CLC, the command controller, and the tool reacted automatically. It detected the attack and immediately blocked it without intervention from my team. The improvement is in the security process, as it's now entirely automated. We no longer require a technician or engineer to monitor our network 24/7. Lumu updates with AI and global threat intelligence, which greatly assists us. Since our workload is lighter, Lumu handles all of our tasks. We're using FortiGate for the firewall and Kaspersky for endpoints. If you are going to Lumu, you need another solution for the endpoint. You need to integrate with other tools like firewalls or another antivirus. I recommend the solution based on the price, usability, and service offered by the solution. Overall, I rate the solution a nine out of ten.

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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 context provided by the tool is very complete, it includes the miter matrix, playbooks, links, hashes, and much more."

"Most of it is automated, so I do not have to watch it to get alerts."

"The tool's support team helps partners resolve any problems with the product."

"I like Lumu's simple user interface. When we deployed it, we got full access, allowing us to identify IP addresses on the network and connect machine names to users. It helped us identify and block threats via the firewall. I also appreciate the chat support and ticket closure process. We're currently reviewing network detection solutions, and my recommendations include Lumu, Sentinel, and a few others. Regarding functionality and user-friendliness, I would recommend Lumu over the others."

"It's been helpful for overall extended network visibility."

"Lumu protects against threats immediately and handles them in time."

"You can access external links, playbooks, MITRE Matrix, and a lot of information."

"The automated response to incidents works effectively out of the box, and the number of interfaces and platforms it can work with is impressive."

"The initial setup was pretty straightforward."

"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."

"Vectra AI helped our team be more productive and save time. We have less work thanks to it."

"The most useful feature is the anomaly detection because it's not signature-based. It picks up the initial part of any attack, like the recon and those aspects of the kill chain, very well."

"We often use the new feature to create PCAP files from the whole data traffic. It makes it much easier to find network problems such as whether the server is responding to a request. It has nothing to do with security, but it helps a lot to find other problems."

"Vectra AI generates relevant information."

"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 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."

More Vectra AI pros

Cons

"I am happy with the current features. However, one important one is to improve the reports."

"Having a larger support network would be beneficial. Nobody I know has heard of Lumu, so they are in the same space as Darktrace or CrowdStrike, but people give blank stares."

"Lumu's ability to discover threats is an area of concern where improvements are needed."

"The free version is minimal compared to the full version."

"The reports need improvement."

"It would be good if we could access the physical logs."

"The integration with different vendors and endpoints could be improved."

"Nothing so far needs to be improved."

"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."

"It would be commercially beneficial if Vectra AI had something like Darktrace's Antigena Email or something similar to email protection."

"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."

"Integration with other security components needs improvement. It should have true integration as opposed to just being a separate pane of glass."

"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 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."

"If you hit a certain number of rules, triage filters, or groups, the UX responds more slowly. However, we have a complex network and a lot of rules. So, our setup might not be a typical implementation example. We even had UX engineers onsite, and they looked at issues, improvements, and user feedback. Since then, it has gotten a lot better, they even built in features that we specifically requested for our company."

"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."

More Vectra AI cons

Pricing and Cost Advice

"It is the cheapest solution we found."

"The tool is available at a good price. The tool offers a good and competitive price for customers."

"Compared to Lumu, other solutions are more expensive. SentinelOne was a bit cheaper, and another provider's price structure is unclear, but Lumu fit our budget nicely. SentinelOne's cost depends on the number of devices, and it might be similar to Lumu's, depending on deployment."

"Vectra AI is not a cheap solution."

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

"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."

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

"The licensing is on an annual basis."

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

"From a pricing perspective, they are very commercially competitive. From a licensing perspective, just be conscious that some of their future cloud solutions come with additional subscriptions. Also, if you're outside of the US, you will get charged freight for the device back to your country."

"The pricing is high."

More Vectra AI pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Intrusion Detection and Prevention Software (IDPS) solutions are best for your needs.

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868,759 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

10%

Educational Organization

10%

Insurance Company

Comms Service Provider

Financial Services Firm

12%

Computer Software Company

11%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	1
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	10
Large Enterprise	27

Questions from the Community

What do you like most about Lumu?

Lumu protects against threats immediately and handles them in time.

What needs improvement with Lumu?

There is always room for improvement. I am not giving it a perfect score because I am sure there is something that could be enhanced.Having some sort of certification or training, along with more p...

What is your primary use case for Lumu?

We use it as our managed SOC instead of contracting with an MSP. It coordinates endpoint and gives us a single pane of glass for our security events.It fulfills the role of a SIEM, serving as our d...

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.

Stellar Cyber Open XDR vs Lumu

Comparisons

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Compared 13% of the time

Microsoft Defender XDR vs Lumu

Compared 7% of the time

Corelight Open NDR vs Lumu

Compared 5% of the time

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Darktrace vs Vectra AI

Compared 29% of the time

ExtraHop Reveal(x) vs Vectra AI

Compared 11% of the time

Corelight vs Vectra AI

Compared 8% of the time

Cisco Secure Network Analytics vs Vectra AI

Compared 5% of the time

Arista NDR vs Vectra AI

Compared 5% of the time

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Product Reports

Lumu

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Download Vectra AI product report

Also Known As

No data available

Vectra Networks, Vectra AI NDR

Overview

Lumu Technologies is a cyber-security company that illuminates threats, attacks, and adversaries affecting enterprises worldwide. Using actionable intelligence, Lumu provides a radical way to secure networks by enhancing and augmenting existing defense capabilities established over the past 25 years.

Lumu Technologies

Vectra AI enhances security operations by pinpointing attack locations, correlating alerts, and providing in-depth visibility across attack lifecycles, ultimately prioritizing threats and improving incident responses.

Vectra AI integrates AI and machine learning to detect anomalies early and supports proactive threat response. Its features like risk scoring, alert correlation, and streamlined SOC efficiency are supplemented by integration with tools like Office 365. Users highlight integration, reporting, and customization challenges, alongside limitations in syslog data and false positive management. They seek enhancements in visualization, UI, TCP replay, endpoint visibility, and tool orchestration, with requests for improved documentation, licensing, and cloud processing innovation.

What are the key features of Vectra AI?

Attack Location Identification: Pinpoints specific locations of security breaches.
Alert Correlation: Combines multiple alerts into a single incident for efficiency.
Visibility Across Attack Lifecycle: Offers detailed insight through different attack stages.
Risk Scoring: Aggregates risk scores to prioritize imminent threats.
AI and Machine Learning: Detects anomalies early to aid in proactive threat response.
Integration with Office 365: Seamlessly consolidates data for enriched investigations.

What benefits should users look for?

Enhanced SOC Efficiency: Reduces alert fatigue and improves operational efficiency.
Threat Prioritization: Focuses on the most critical threats with risk scoring.
Proactive Threat Response: Early anomaly detection aids in swift response.
Operational Overhead Reduction: Seamless integration minimizes extra workload.
Compliance and Policy Support: Assists in adhering to policies and regulations.

In industries like finance, healthcare, and critical infrastructure, Vectra AI is crucial for threat detection and network monitoring. Entities use it for identifying anomalous behaviors and enhancing cybersecurity by responding to network activities and analyzing traffic for potential breaches. It operates on-premises and in hybrid cloud settings, enabling threat detection without endpoint agents and supporting compliance and policy enforcement.

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

Lumu vs. Vectra AI