Flowmon vs Vectra AI comparison

Read 47 Vectra AI reviews

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Flowmon

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Executive SummaryUpdated on Nov 6, 2024

Vectra AI and Flowmon are competing in the cybersecurity and network monitoring space. Vectra AI gains an advantage in threat detection through AI automation, while Flowmon offers more comprehensive network performance insights.

Features: Vectra AI provides AI-driven threat detection and automation, enabling proactive incident response. It also emphasizes superior threat intelligence. Flowmon offers extensive network monitoring, traffic analysis, and performance management tools, providing holistic network visibility.

Ease of Deployment and Customer Service: Vectra AI is recognized for quick deployment and reliable customer support, enhancing the onboarding process. Flowmon may require a more detailed setup process but offers comprehensive technical support.

Pricing and ROI: Vectra AI presents competitive setup costs and a strong ROI from efficient security responses. Flowmon, despite a higher initial investment, delivers long-term value with its extensive network optimization capabilities.

To learn more, read our detailed Flowmon vs. Vectra AI Report (Updated: March 2026).

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Flowmon vs. Vectra AI

March 2026

Helped 884,933 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

Flowmon

Ranking in Network Detection and Response (NDR)

13th

Average Rating

8.6

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Vectra AI

Ranking in Network Detection and Response (NDR)

2nd

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Intrusion Detection and Prevention Software (IDPS) (4th), Extended Detection and Response (XDR) (15th), Identity Threat Detection and Response (ITDR) (9th), AI-Powered Cybersecurity Platforms (6th)

Mindshare comparison

As of March 2026, in the Network Detection and Response (NDR) category, the mindshare of Flowmon is 2.1%, up from 1.8% compared to the previous year. The mindshare of Vectra AI is 12.5%, down from 16.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Network Detection and Response (NDR) Mindshare Distribution
Product	Mindshare (%)
Vectra AI	12.5%
Flowmon	2.1%
Other	85.4%

Network Detection and Response (NDR)

Featured Reviews

Pifu Lin

Senior System Engineer at DYNASAFE TECHNOLOGIES PTE. LTD.

Quick identification of network issues enhances performance monitoring

We will try to Proof of Concept (POC) to a client in Taiwan. We just use the features for the Network Performance Monitor (NPM) Flowmon is more easy to understand and helps find network issues more quickly. We need this solution to monitor the network performance. We started using it three…

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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 solution is stable."

"The artificial intelligence and automatic detection system in Flowmon Solution are perfect for every, type of customer, such as government and commerce."

"Flowmon is more easy to understand and helps find network issues more quickly."

"It is an open platform, so in terms of integration, we are quite happy. We can integrate it with other SNMP solutions. We can also integrate it with security solutions, such as a SIEM solution."

"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."

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

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

"It gives you access, with Recall, to instant visibility into your network through something like a SIEM solution. For us, being able to correlate all of this network data without having to manage it, has provided immediate value. It gives us the ability to really work on the stuff where I and my team have expertise, instead of having to manage a SIEM solution..."

"Vectra AI generates relevant information."

"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 keeps up with the network traffic, which is a good thing. It provides more context to plain alerts compared to using an older system. So, it helps an analyst reduce the information overload."

"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."

More Vectra AI pros

Cons

"I do not know the detailed pricing."

"If there was better visualization in Flowmon Solution it would be good."

"It would be helpful to have more details about the monitoring of the infrastructure. It should have support for SNMP. This is something that is currently not there in the product."

"The licensing price could be better."

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

"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."

"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."

"The UI/UX and detection could be improved. More detections of specific security events could be useful. We've had a few incidents that were not detected by Vectra. The teams are working on it right now, but more detection is always better."

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

"An area for improvement in Vectra AI is reporting because it currently needs some details. For example, when you download a report from Vectra AI, you won't see complete information about the alerts or triggers. Another area for improvement in the tool is that sometimes, an alert has high severity, yet it's marked as low severity. Vectra AI should have a mechanism to change the severity level from low to high or critical."

More Vectra AI cons

Pricing and Cost Advice

"The licensing fee accrues only once, but that of support is annual."

"The price of the solution could be better."

"It works with a permanent license, and then you can pay for the support. For the gold support, you need to pay yearly."

"The licensing is on an annual basis."

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

"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."

"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."

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

More Vectra AI pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

12%

Computer Software Company

10%

Financial Services Firm

10%

Performing Arts

Financial Services Firm

10%

Manufacturing Company

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

Questions from the Community

What is your experience regarding pricing and costs for Flowmon Anomaly Detection System?

I don't understand the price. I am in deployment, so I do not know the detailed pricing.

What is your primary use case for Flowmon Anomaly Detection System?

We will try to Proof of Concept (POC) to a client in Taiwan. We just use the features for the Network Performance Monitor (NPM).

What advice do you have for others considering Flowmon Anomaly Detection System?

I'd rate the solution nine out of ten.

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

Network Detection and Response (NDR)

February 2026

Download Flowmon product report

Download Vectra AI product report

February 2026

Also Known As

Flowmon Anomaly Detection System

Vectra Networks, Vectra AI NDR

Overview

Flowmon is a professional tool for effective network troubleshooting, performance monitoring, capacity planning, encrypted traffic analysis and cloud monitoring. Instead of just the red/green infrastructure status, it helps NetOps teams to understand user experience while keeping the amount of data noise and analytical work to a minimum. Flowmon is a part of the Kemp product portfolio.

Progress Software

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

SEGA

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