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ExtraHop Reveal(x) 360 vs Vectra AI comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 8, 2024

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

ExtraHop Reveal(x) 360
Ranking in Intrusion Detection and Prevention Software (IDPS)
18th
Ranking in Extended Detection and Response (XDR)
26th
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
3
Ranking in other categories
Container Security (26th), Network Traffic Analysis (NTA) (9th)
Vectra AI
Ranking in Intrusion Detection and Prevention Software (IDPS)
2nd
Ranking in Extended Detection and Response (XDR)
9th
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
44
Ranking in other categories
Network Detection and Response (NDR) (2nd), Identity Threat Detection and Response (ITDR) (5th), AI-Powered Cybersecurity Platforms (4th)
 

Mindshare comparison

As of March 2025, in the Intrusion Detection and Prevention Software (IDPS) category, the mindshare of ExtraHop Reveal(x) 360 is 0.7%, up from 0.7% compared to the previous year. The mindshare of Vectra AI is 11.5%, up from 10.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Intrusion Detection and Prevention Software (IDPS)
 

Featured Reviews

Maksym Toporkov - PeerSpot reviewer
A competitive choice for network detection and response with exceptional user interface, ease of implementation and minimal false positives
The NDR feature analyzes network traffic, creating records with connection details. While these records offer insights, there's a limitation in investigating payloads directly. ExtraHop provides an option for an additional server to save payloads, but its temporary storage has constraints. Unlike some competitors, it lacks an automatic payload-saving feature for each detection, presenting an improvement opportunity. Suggested enhancement involves the main sensor prompting payload storage for specific detections, streamlining the investigation process, and contributing to a more efficient workflow. A drawback includes packet storage limitations for payload data, necessitating timely extraction for thorough investigations.
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

"It is very easy to collect and handle data in ExtraHop Reveal(X) Cloud. Integration with Big Data is also easy. Many of our customers integrate it with Big Data platforms like Splunk or Elastic. It is also easy to handle and easy to understand."
"It is scalable."
"It stands out for its intuitive and efficient user interface, robust detection capabilities with minimal false positives, and the ability to handle encrypted traffic, making it a valuable asset for network security and management."
"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."
"It has reduced the time it takes to respond to attacks. That comes back to the proactive point. It makes us able to lower down in the kill chain, we can react now, rather than reacting to incidents that happened, we can see an instant, in some cases, as it's being implemented, or as it's being launched."
"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."
"There are many detection features available."
"The solution is currently used as a central threat detection and response system."
"The UI is easy to use and when we send detection to everybody, they easily understand what we are asking at the time."
"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..."
"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."
 

Cons

"They can include integration with SAP. Currently, no vendor provides network performance monitoring in the SAP market. It is a very big market. We have around 400 customers for SAP in Korea. In the USA, there are more than 10,000 customers."
"A drawback includes bucket storage limitations for payload data, necessitating timely extraction for thorough investigations."
"There needs to be more support."
"In comparison with a lot of systems I used in the past, the false positives are really a burden because they are taking a lot of time at this moment."
"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."
"We are using SMB 3.0, which is an encrypted protocol. When we get some alerts or something, we cannot go deep into the protocol to see what's wrong because it's encrypted. We need to decrypt the protocol in another way, which is quite difficult. We might go back to SMB 2.0 just for this reason, but that's not a good solution."
"We have a lot of system solutions and integrations with system solutions. Vectra is a type of black box. It implements AI-informed detection mechanisms, but we cannot create system detections. I understand that the product is designed this way, but it would be great if we could create our own detections as well."
"One area where there's room for improvement is the absence of a comprehensive TCP recording and replay feature."
"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 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."
"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."
 

Pricing and Cost Advice

"When compared to other solutions, it aligns with the market average, indicating a competitive pricing level."
"Cost is a big factor, as always. However, I think we have a very good price–performance ratio."
"There are additional features that can be purchased in addition to the standard licensing fee, such as Cognito Recall and Stream."
"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."
"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 solution's pricing was 50 percent lower than the other vendors shortlisted."
"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."
"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
Financial Services Firm
10%
Insurance Company
9%
University
8%
Comms Service Provider
8%
Financial Services Firm
13%
Computer Software Company
13%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about ExtraHop Reveal(x) 360?
It stands out for its intuitive and efficient user interface, robust detection capabilities with minimal false positives, and the ability to handle encrypted traffic, making it a valuable asset for...
What needs improvement with ExtraHop Reveal(x) 360?
The NDR feature analyzes network traffic, creating records with connection details. While these records offer insights, there's a limitation in investigating payloads directly. ExtraHop provides an...
What advice do you have for others considering ExtraHop Reveal(x) 360?
I recommend prioritizing demos over POCs when engaging with vendors. Organizing POCs involves significant time and resource investments for both parties. Instead, invest time in multiple demo sessi...
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.
 

Also Known As

ExtraHop Reveal(X) Cloud, Reveal(X) Cloud
Vectra Networks, Vectra AI NDR
 

Overview

 

Sample Customers

Wizards of the Coast
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 ExtraHop Reveal(x) 360 vs. Vectra AI and other solutions. Updated: February 2025.
842,296 professionals have used our research since 2012.