Security Analyst at a outsourcing company with 501-1,000 employees
Real User
Top 20
Feb 16, 2026
Our main use case for JupiterOne is as an asset catalog tool where we document all our assets that are integrated from different platforms such as Device42, Qualys, Microsoft M365, and Defender. We are aggregating all our assets from different tools into JupiterOne. A specific example of how we use JupiterOne day-to-day is being able to draw a network flow of how network traffic travels through the network, starting from the edge devices to the internal devices. We are also using JupiterOne to track assets that are being brought in and assets that are leaving the environment. Additionally, we are using JupiterOne as the source of truth for many other things that we are doing. Some of my other teammates in areas such as data are tapping into it for asset categorization.
IT Specialist at a tech services company with 10,001+ employees
Real User
Sep 13, 2023
We use the solution for writing all the queries. There is a lot of variation for machine learning projects like data processing, data analysis, and pipeline creation. It has the flexibility to work on different kinds of things like ML projects and clustering algorithms like regression analysis.
Vulnerability Management involves identifying, assessing, and addressing security vulnerabilities within an organization's IT framework to protect against potential threats.This practice is essential for organizations to maintain their security posture, minimizing risks associated with security breaches. Solutions in this category provide tools that help detect vulnerabilities across networks, applications, and hardware. Effective management includes regular scanning, patching, and...
Our main use case for JupiterOne is as an asset catalog tool where we document all our assets that are integrated from different platforms such as Device42, Qualys, Microsoft M365, and Defender. We are aggregating all our assets from different tools into JupiterOne. A specific example of how we use JupiterOne day-to-day is being able to draw a network flow of how network traffic travels through the network, starting from the edge devices to the internal devices. We are also using JupiterOne to track assets that are being brought in and assets that are leaving the environment. Additionally, we are using JupiterOne as the source of truth for many other things that we are doing. Some of my other teammates in areas such as data are tapping into it for asset categorization.
We use the solution for writing all the queries. There is a lot of variation for machine learning projects like data processing, data analysis, and pipeline creation. It has the flexibility to work on different kinds of things like ML projects and clustering algorithms like regression analysis.