Best Risk-Based Vulnerability Management Software - Page 15

How Many Risk-Based Vulnerability Management Software Products Does G2 Track?

Total Products under this Category: 212

Category Stats (Sep 2026)

Average Rating: 4.49/5 The average rating of products in this category, based on all submitted ratings
Top Trending Product: Ethiack (+0.86%) - Among all products in this category, Ethiack recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Risk-Based Vulnerability Management Software Products?

Why You Can Trust G2's Software Rankings:

30 Analysts and Data Experts
5,300+ Authentic Reviews
212+ Products
Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Risk-Based Vulnerability Management Software

Highlighted products: Ivanti Neurons for Unified Endpoint Management, Arctic Wolf, Tenable Vulnerability Management, RiskProfiler - External Threat Exposure Management, YesWeHack, Pentera, Check Point Exposure Management, and H1 Platform.

Underlying data: [Grid® JSON](https://www.g2.com/categories/risk-based-vulnerability-management/grids.json?focus%5B%5D=ivanti-neurons-for-unified-endpoint-management&focus%5B%5D=arctic-wolf&focus%5B%5D=tenable-vulnerability-management&focus%5B%5D=riskprofiler-external-threat-exposure-management&focus%5B%5D=yeswehack&focus%5B%5D=pentera&focus%5B%5D=check-point-exposure-management&focus%5B%5D=h1-platform)

ZeroNorth

Continuous security delivery fabric for modern enterprise infrastructure.

Who Is the Company Behind ZeroNorth?

Seller: ZeroNorth
Year Founded: 2015
HQ Location: Boston, US
LinkedIn® Page: www.linkedin.com
4 employees on LinkedIn®

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Browse Risk-Based Vulnerability Management Themes

Researched and written by Brandon Summers-Miller

Updated October 3, 2024

Risk-based vulnerability management software is used to identify and prioritize vulnerabilities based on customizable risk factors. These tools are more advanced than traditional vulnerability management solutions, as they assist in the prioritization of issues and execution of remedies based on the results of machine learning algorithms.

Companies use risk-based vulnerability management solutions to analyze entire organizations’ IT systems, cloud services, and/or applications and identify priorities. Instead of manually identifying vulnerabilities and remediating them in order of discovery, an organization can automate that process to remediate vulnerabilities impacting critical business components first. From there, they can address issues as the system has ordered by impact and remediation time. Companies can customize these priorities as they see fit by weighing risk factors differently.

Risk-based vulnerability management solutions are primarily used by IT professionals and security staff. These teams will integrate system and application information, outline priorities, and analyze assets. Automation within these tools saves significant time; furthermore, addressing critical vulnerabilities first can significantly reduce the likelihood of security incidents, failover, and data loss.

There is some overlap between risk-based vulnerability management solutions and security risk analysis software, but there are a few key differences. Security risk analysis tools provide similar capabilities in identifying vulnerabilities and other security risks. But security risk analysis tools, aside from a few outlier products, will not utilize machine learning and automation to assist in the prioritization and execution of vulnerability remediation.

To qualify for inclusion in the Risk-Based Vulnerability Management category, a product must:

Integrate threat intelligence and contextual data for analysis
Analyze applications, networks, and cloud services for vulnerabilities
Utilize risk factors and machine learning to prioritize vulnerabilities