I have been using JupiterOne for four to five months. I explored JupiterOne during my cybersecurity studies, and it serves as a cloud asset management and security solution for my company. I use JupiterOne to address issues that my company faces with rating limits to deliver strong values, visibility, and compliance for all of my clients' terms. The main use cases with JupiterOne involve personalized voice scripts for company assets, including tracking compliance and checks and cloud monitoring. The best use case for JupiterOne is primarily its privacy capabilities, such as how it operates in private zones. When S3 buckets are publicly exposed by mistake, JupiterOne flags it immediately through its graph relationship without manual checking of each asset. The compilation reporting is handled automatically instead of manually collecting evidence for SOC 2 or ISO audits. JupiterOne continuously maps infrastructures against compliance frameworks, which helps my company significantly. Regarding automation with JupiterOne, I added some automations that directly contact clients or utilize the graph of the clients. They can see the live graphs of whatever is behind that situation, and it automatically finds the catalogs of every digital asset like cloud instances, user apps, and devices without manual inputs. The graph-based visualizations handle compliance mapping and policy management effectively.
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.
JupiterOne offers a comprehensive platform designed for cybersecurity asset management, providing streamlined solutions for security and compliance. Experts appreciate its capability to increase visibility across cloud environments.JupiterOne simplifies asset management by integrating with multiple tools and frameworks, enabling organizations to gain insights into their security posture. It supports continuous monitoring and instant analysis, enhancing risk management and compliance...
I have been using JupiterOne for four to five months. I explored JupiterOne during my cybersecurity studies, and it serves as a cloud asset management and security solution for my company. I use JupiterOne to address issues that my company faces with rating limits to deliver strong values, visibility, and compliance for all of my clients' terms. The main use cases with JupiterOne involve personalized voice scripts for company assets, including tracking compliance and checks and cloud monitoring. The best use case for JupiterOne is primarily its privacy capabilities, such as how it operates in private zones. When S3 buckets are publicly exposed by mistake, JupiterOne flags it immediately through its graph relationship without manual checking of each asset. The compilation reporting is handled automatically instead of manually collecting evidence for SOC 2 or ISO audits. JupiterOne continuously maps infrastructures against compliance frameworks, which helps my company significantly. Regarding automation with JupiterOne, I added some automations that directly contact clients or utilize the graph of the clients. They can see the live graphs of whatever is behind that situation, and it automatically finds the catalogs of every digital asset like cloud instances, user apps, and devices without manual inputs. The graph-based visualizations handle compliance mapping and policy management effectively.
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.