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: January 2026).

Lumu vs. Vectra AI

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Helped 881,082 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)

9th

Ranking in Network Detection and Response (NDR)

7th

Ranking in Extended Detection and Response (XDR)

17th

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

7.0

Number of Reviews

Ranking in other categories

Identity Threat Detection and Response (ITDR) (11th), AI-Powered Cybersecurity Platforms (6th)

Mindshare comparison

As of January 2026, in the Network Detection and Response (NDR) category, the mindshare of Lumu is 3.2%, up from 3.1% compared to the previous year. The mindshare of Vectra AI is 13.3%, down from 16.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Network Detection and Response (NDR) Market Share Distribution
Product	Market Share (%)
Vectra AI	13.3%
Lumu	3.2%
Other	83.5%

Network Detection and Response (NDR)

Featured Reviews

Jeremiah Johnson

Director, Information Technology at a educational organization with 201-500 employees

Constant monitoring and analysis boosts network security

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 periodic webinars might be helpful. 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. As the community grows for Lumu then that will improve, but that is not really a criticism of Lumu, they simply have not been around that long.

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

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

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

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

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

"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."

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

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

"The biggest feature for us, because we are heavy Microsoft users, is its integration with Office 365. On top of Vectra AI, we use all of the Microsoft security platforms, such as Defender ATP and Sentinel. Having full integration and a central platform to look at all of the threats that are coming through from the different platforms is a huge benefit for us."

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

"Vectra produces actionable data using automation. That has helped us. It's less manpower now to look at incidents, which has definitely increased efficiency. Right now, in a lot of cases, our mean time to detection is within zero days. This tells me by the time something happened, and we were able to detect it, it was within the same day."

"One of the things that we didn't expect to happen was that our network team also jumped on it faster than we thought. In most cases, if it's a security tool that's working on the network part, they can also use it to find out certain flaws that have been in the system. Certain flaws, related to some legacy stuff, were already there for quite a few years, which they couldn't explain at first, but we could explain them based on the timing of certain things."

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

"Cognito Streams gives you a detailed view of what happens in the network in the form of rich metadata. It is just a super easy way to capture network traffic for important protocols, giving us an advantage. This is very helpful on a day-to-day basis."

"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 fact that we get the visualization of what's happening on our network, which is a way of improving our security in-depth is most valuable."

More Vectra AI pros

Cons

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

"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."

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

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

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

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

"Nothing so far needs to be improved."

"The reports need improvement."

"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."

"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."

"One of the things that we are missing a bit is the capability to add our own rules to it. At the moment, the tech engine does its thing, but we have some cool ideas to make additional rules. There should be an option in the platform to add custom rules, or there should be some kind of user group where we can suggest them for the roadmap and see if they get evaluated and get transparent communication on whether they will be implemented in the product or not."

"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."

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

"Some of their integrations with other sources of data, like external threat feeds, took a bit more work than I had hoped to get integrated."

"The reporting from Cognito Detect is very limited and doesn't give you too many options. If I want to prepare a customized report on a particular host, even though I see the data, I have to manually prepare the report. The reporting features that are built into the tool are not very helpful."

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

More Vectra AI cons

Pricing and Cost Advice

"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."

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

"It is the cheapest solution we found."

"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."

"Vectra is a bit on the higher side in terms of price, but they have always been transparent. The reason that they are this good is that they invest, so they need to charge accordingly."

"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."

"The pricing is very good. It's less expensive than many of the tools out there."

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

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

"The pricing is high."

"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."

More Vectra AI pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

Insurance Company

Educational Organization

Government

Financial Services Firm

10%

Computer Software Company

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	29

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?

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

Darktrace vs Lumu

Compared 34% of the time

Wazuh vs Lumu

Compared 13% of the time

Compared 12% of the time

Microsoft Defender XDR vs Lumu

Compared 8% of the time

IBM Security QRadar vs Lumu

Compared 4% of the time

More Lumu Competitors

Darktrace vs Vectra AI

Compared 23% of the time

ExtraHop Reveal(x) vs Vectra AI

Compared 8% of the time

Corelight vs Vectra AI

Compared 5% of the time

Cisco Secure Network Analytics vs Vectra AI

Compared 4% of the time

Fortinet FortiNDR vs Vectra AI

Compared 4% of the time

More Vectra AI Competitors

Product Reports

Lumu

Download Lumu product report

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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 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

Lumu vs. Vectra AI