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IronNet Collective Defense Platform vs Vectra AI comparison

 

Comparison Buyer's Guide

Executive Summary

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

IronNet Collective Defense ...
Ranking in Network Detection and Response (NDR)
24th
Average Rating
0.0
Reviews Sentiment
6.8
Number of Reviews
1
Ranking in other categories
Network Traffic Analysis (NTA) (16th)
Vectra AI
Ranking in Network Detection and Response (NDR)
2nd
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
45
Ranking in other categories
Intrusion Detection and Prevention Software (IDPS) (4th), Extended Detection and Response (XDR) (18th), Identity Threat Detection and Response (ITDR) (10th), AI-Powered Cybersecurity Platforms (6th)
 

Mindshare comparison

As of September 2025, in the Network Detection and Response (NDR) category, the mindshare of IronNet Collective Defense Platform is 0.3%, down from 0.4% compared to the previous year. The mindshare of Vectra AI is 15.6%, down from 17.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Detection and Response (NDR) Market Share Distribution
ProductMarket Share (%)
Vectra AI15.6%
IronNet Collective Defense Platform0.3%
Other84.1%
Network Detection and Response (NDR)
 

Featured Reviews

reviewer1468230 - PeerSpot reviewer
Easy to use, stable, and easy to install
We use this solution for the Ministry of Defense and the special agencies It adds value to our existing platform, and therefore our system becomes more important for the customer. The most valuable feature is the ease of use and the full reach of services. It's pretty decent, and I don't see…
Mohammad Alkurdi - PeerSpot reviewer
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The most valuable feature is the ease of use and the full reach of services."
"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."
"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."
"One of the most valuable features of the platform is its ability to provide you with aggregated risk scores based on impact and certainty of threats being detected. This is both applied to individual and host detections. This is important because it enables us to use this platform to prioritize the most likely imminent threats. So, it reduces alert fatigue follow ups for security operation center analysts. It also provides us with an ability to prioritize limited resources."
"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."
"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."
"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."
"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."
 

Cons

"I would like to see it integrate with third-party systems."
"I would like to see data processed onshore. Right now, the cloud components, like Office 365, must be processed on servers outside of Australia. I would like to see a future adoption of onshore processing."
"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."
"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."
"There could be an option where Vectra manages the solution remotely, and when there is an attack, there could be a notification center to give us information about the attack."
"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."
"Vectra is still limited to packet management. It's only monitoring packet exchanges. While it can see a lot of things, it can't see everything, depending on where it's deployed. It has its limits and that's why I still have my SIEM."
"What is most important for us is to have one place where we can manage a few brains because we are based on a zero-trust network. As a result, each customer needs to have a separate brain. For the SOC team, we need to have one place where the SOC analyst can go to visit the website and from that site manage all of the customers. Right now, Vectra AI doesn't have this capability, and I would really like to have this feature."
 

Pricing and Cost Advice

"Licensing costs are yearly."
"The pricing is high."
"Vectra's licensing model could scale to our research network, which has multiple, 100-gigabit links."
"The license is based on the concurrent IP addresses that it's investigating. We have 9,800 to 10,000 IP addresses."
"Vectra AI is not a cheap solution."
"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."
"The licensing is on an annual basis."
"Cost is a big factor, as always. However, I think we have a very good price–performance ratio."
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
12%
Computer Software Company
11%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise10
Large Enterprise27
 

Questions from the Community

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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.
 

Comparisons

No data available
 

Also Known As

IronDefense, Iron Dome, Cyber Operations Center
Vectra Networks, Vectra AI NDR
 

Overview

 

Sample Customers

Thomson Reuters
Tribune Media Group, Barry University, Aruba Networks, Good Technology, Riverbed, Santa Clara University, Securities Exchange, Tri-State Generation and Transmission Association
Find out what your peers are saying about Darktrace, Vectra AI, Trend Micro and others in Network Detection and Response (NDR). Updated: August 2025.
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