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Vectra AI vs runZero 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

runZero
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Cyber Asset Attack Surface Management (CAASM) (6th)
Vectra AI
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
47
Ranking in other categories
Intrusion Detection and Prevention Software (IDPS) (4th), Network Detection and Response (NDR) (2nd), Extended Detection and Response (XDR) (15th), Identity Threat Detection and Response (ITDR) (9th), AI-Powered Cybersecurity Platforms (6th)
 

Mindshare comparison

While both are Security Software solutions, they serve different purposes. runZero is designed for Cyber Asset Attack Surface Management (CAASM) and holds a mindshare of 7.4%, down 10.3% compared to last year.
Vectra AI, on the other hand, focuses on Network Detection and Response (NDR), holds 12.5% mindshare, down 16.3% since last year.
Cyber Asset Attack Surface Management (CAASM) Mindshare Distribution
ProductMindshare (%)
runZero7.4%
Axonius29.0%
Armis17.2%
Other46.400000000000006%
Cyber Asset Attack Surface Management (CAASM)
Network Detection and Response (NDR) Mindshare Distribution
ProductMindshare (%)
Vectra AI12.5%
Darktrace16.6%
ExtraHop Reveal(x)6.7%
Other64.19999999999999%
Network Detection and Response (NDR)
 

Featured Reviews

Use runZero?
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RR
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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Top Industries

By visitors reading reviews
Computer Software Company
13%
Financial Services Firm
7%
Insurance Company
7%
University
7%
Financial Services Firm
10%
Manufacturing Company
8%
Computer Software Company
8%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise10
Large Enterprise29
 

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

 

Also Known As

No data available
Vectra Networks, Vectra AI NDR
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

Ernest & Young, Sally Beauty, Washington Regional, Zayo, Carnegie Mellon University, GitHub, Sage AI Labs, Recorded Future, GreyNoise Intelligence, National World War II Museum, Coalition, Inc.
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 Armis, Axonius, Qualys and others in Cyber Asset Attack Surface Management (CAASM). Updated: March 2026.
885,728 professionals have used our research since 2012.