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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)
19th
Ranking in Extended Detection and Response (XDR)
24th
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
3
Ranking in other categories
Container Security (25th), Network Traffic Analysis (NTA) (9th)
Vectra AI
Ranking in Intrusion Detection and Prevention Software (IDPS)
3rd
Ranking in Extended Detection and Response (XDR)
15th
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) (10th), AI-Powered Cybersecurity Platforms (6th)
 

Mindshare comparison

As of April 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 11.3%, up from 10.9% 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 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."
"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."
"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."
"There are many detection features available."
"Scalability wise, we have many sensors, and Vectra AI seems to handle them all very well."
"The solution provide visibility into behaviors across the full lifecycle of an attack in our network, beyond just the Internet gateway. It makes our security operations much more effective because we are now looking not just at traffic on the border, but we're looking at east-west internal traffic. Now, not only will we see if an exploit kit is being downloaded, but we would be able to see then if that exploit kit was then laterally distributed into our environment."
"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."
"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."
"Vectra AI helped our team be more productive and save time. We have less work thanks to it."
"Most of their use cases, including deployment, are managed by the tool itself, requiring less manual input from our team."
 

Cons

"A drawback includes bucket storage limitations for payload data, necessitating timely extraction for thorough investigations."
"There needs to be more support."
"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."
"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."
"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."
"I would like more integrations with IOCs and threats currently on the Internet. I would also like to know which threats are based on zero-day attacks, current botnets, etc. Therefore, I would like more information on external threats."
"Other alternatives, like Darktrace, have a fancier UI."
"I'd like to be able to get granular reports and to be able to output them into formats that are customizable and more useful. The reporting GUI is lacking."
"Neither Vectra nor Darktrace have a function like a status health check on my log sources and traffic sources."
"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."
"It would be commercially beneficial if Vectra AI had something like Darktrace's Antigena Email or something similar to email protection."
 

Pricing and Cost Advice

"When compared to other solutions, it aligns with the market average, indicating a competitive pricing level."
"There are additional features that can be purchased in addition to the standard licensing fee, such as Cognito Recall and Stream."
"The licensing is on an annual basis."
"The pricing and licensing are quite straightforward because they're based on the IP licenses. As a result, they are easy to count."
"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 pricing is very good. It's less expensive than many of the tools out there."
"The solution is low-cost and affordable."
"The license is based on the concurrent IP addresses that it's investigating. We have 9,800 to 10,000 IP addresses."
"Cost is a big factor, as always. However, I think we have a very good price–performance ratio."
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Top Industries

By visitors reading reviews
Financial Services Firm
10%
University
8%
Computer Software Company
8%
Insurance Company
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: April 2025.
847,862 professionals have used our research since 2012.