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 881,733 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)

8th

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)

4th

Ranking in Network Detection and Response (NDR)

2nd

Ranking in Extended Detection and Response (XDR)

15th

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 February 2026, in the Network Detection and Response (NDR) category, the mindshare of Lumu is 3.2%, down from 3.2% compared to the previous year. The mindshare of Vectra AI is 12.6%, down from 16.8% 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	12.6%
Lumu	3.2%
Other	84.2%

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

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

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

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

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

"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."

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

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

"Attack Signal Intelligence helped reduce irrelevant alerts by 80% to 90%, with metrics showing a 100-plus reduction in investigation workloads and roughly saving about 55,000 hours of investigation time."

"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."

"It's easy to manage, and I love the UX. It's very well designed. When we are looking for something, it's quite easy to find it."

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

"Vectra AI generates relevant information."

"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."

"One of the core features is that Vectra AI triages threats and correlates them with compromised host devices. From a visibility perspective, we can better track the threat across the network. Instead of us potentially finding one device that has been impacted without Vectra AI, it will give us the visibility of everywhere that threat went. Therefore, visibility has increased for us."

"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

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

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

"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."

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

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

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

"The reports need improvement."

"Nothing so far needs to be improved."

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

"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."

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

"The advantages of the integration are not entirely out-of-the-box. You have to do it manually."

"There is room for improvement in the documentation. We would like to have more details on how it detects what we see."

"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."

"The false positives and the tuning side of it is something that could use improvement. But that could be from our side."

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."

"It's relatively on the pricier side, but when compared to other solutions. It's not the most budget-friendly option, but it can be considered somewhat more cost-effective in comparison to other alternatives."

"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."

"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."

"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."

"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."

"The solution is low-cost and affordable."

"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

Financial Services Firm

Insurance Company

Comms Service Provider

Educational Organization

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	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 27% of the time

Wazuh vs Lumu

Compared 12% of the time

Compared 10% of the time

Microsoft Defender XDR vs Lumu

Compared 7% of the time

TrendAI Vision One vs Lumu

Compared 6% of the time

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Darktrace vs Vectra AI

Compared 22% of the time

ExtraHop Reveal(x) vs Vectra AI

Compared 7% 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

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 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