JupiterOne Cybersecurity Data Insights Platform

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.

JupiterOne affects my organization from many perspectives, particularly from a security viewpoint. Organizations gain a complete picture of their entire digital infrastructure with no blind spots, every asset, and every connection in one place. This reduces manual work and enables faster incident response, making compliance easier for standards like ISO and HIPAA. Evidence is automatically collected, which is the main cause of cost savings.

Fewer security breaches result from less manual effort, leading to better risk management. That is why my company uses JupiterOne extensively.

Time saved and money saved are both significant benefits that I have experienced.

Regarding performance and speed scenarios for JupiterOne, queries sometimes take too long, especially when dealing with large datasets or complex graph relationships that can slow down significantly. There is also a steep learning curve, as J1QL, their query language, is powerful but requires time to learn. New users struggle initially, and better onboarding tutorials are needed.

Rate limiting issues can be frustrating, as API rate limits sometimes cause problems.

Price transparency for JupiterOne is an area for improvement. The price is not publicly listed, so you have to contact sales for smaller teams or startups, which becomes a barrier. Another issue is alert noise, as sometimes too many alerts are generated. Better filtering and prioritization are needed so that critical issues do not get lost.

JupiterOne is very good when compared to other cloud asset platforms overall.

I have been working with this solution for seventeen months.

JupiterOne is stable.

The scalability of JupiterOne is quite good. It is built to handle enterprise-scale infrastructures with thousands of assets across multiple cloud environments. As our AWS  infrastructure grew with more EC2  instances, more IAM  roles, and more S3  buckets, JupiterOne automatically discovered and added them to the graph without any manual interventions. Horizontal scaling was seamless.

The graph database architecture is a smart choice for scalability. As we had more assets and relationships, the graph expanded naturally without restructuring. It is suitable for most mid-sized to large organizations. Only at very large enterprise scale do we feel those performance pressures.

Our experience with JupiterOne's customer support was generally positive. During onboarding, support was strong. When we initially set up the platform, their team provided dedicated assistance for connecting integrations like AWS  and GitHub , which made the first two to three weeks much smoother than expected.

JupiterOne has a documentation portal that is quite comprehensive. Most common questions and integration guides are well covered there, and our team relied on it heavily during initial configurations.

For ticket-based support, response time was reasonable for standard issues, usually within twenty-four to forty-eight hours. For critical issues, we sometimes received faster responses.

I would rate the customer service nine out of ten.

Before JupiterOne, we were using a combination of tools including primarily AWS Security Hub  for cloud security monitoring, spreadsheets for access tracking and compliance evidence collection, and a separate tool for vulnerability scanning. The problem was that those tools did not communicate with each other, resulting in three separate dashboards, no unified view, and a lot of manual work stretching data together for reporting.

This consolidation issue was the main reason we switched to JupiterOne. We wanted one single platform that could replace all three and give us a connected graph view instead of isolated data silos. That is why we chose JupiterOne, and it was the best decision ever.

I did not evaluate other options and directly switched to JupiterOne.

My overall experience is good. JupiterOne follows a subscription-based pricing model that is not publicly listed, so you have to go through their sales team for actual numbers. In our case, the pricing was based on the number of assets monitored, with more assets resulting in higher costs. For a mid-sized organization like mine, it was a premium price but justified given the value.

The initial configurations took some effort, connecting all integrations like AWS and GitHub . It took about two to three weeks to fully set up and fine-tune. The licensing was a straightforward annual enterprise license.

Overall, it is not cheap, but for what it does, it is a good value.

I have definitely seen a positive return on investment from JupiterOne in a few concrete ways. The first is time savings. Before JupiterOne, our security team spent roughly fifteen to twenty hours per week manually tracking assets and preparing compliance reports. After implementation, that dropped to about three to four hours, saving nearly eighty percent of manual effort in that area.

The second area is audit preparation for SOC 2. Previously, it took four to six weeks of intensive work, but with JupiterOne continuously collecting evidence, that came down to roughly one week. This alone saved significant consultant and employee hours.

The third area is incident response.

JupiterOne follows a subscription-based pricing model that is not publicly listed, so you have to go through their sales team for actual numbers. In our case, the pricing was based on the number of assets monitored, with more assets resulting in higher costs. For a mid-sized organization like mine, it was a premium price but justified given the value.

The initial configurations took some effort, connecting all integrations like AWS and GitHub. It took about two to three weeks to fully set up and fine-tune. The licensing was a straightforward annual enterprise license.

Overall, it is not cheap, but for what it does, it is a good value.

I did not evaluate other options and directly switched to JupiterOne.

I have several practical pieces of advice for anyone looking into JupiterOne. The first is to start with clear asset inventory goals. Before you even set up the tools, know what you want to track, such as cloud assets or user applications. Going in without clarity makes the setup overwhelming.

The second is to invest time in learning J1QL early, as it is the key to unlocking JupiterOne's full power. The third is to connect your most critical integrations first, such as AWS and GitHub, and get those running before expanding to others. Do not try to connect everything at once as it becomes messy.

The fourth is to involve your compliance team from day one. JupiterOne's biggest ROI is in audit preparation, but only if compliance requirements are mapped correctly from the start. Finally, use the trial period seriously. Do not just click around; actually run real queries against your infrastructure and see if the insights match your expectations before committing to enterprise pricing.

My overall advice is that if you are a mid-sized or large organization dealing with multi-cloud complexity, JupiterOne is absolutely worth evaluating seriously. I gave this review an overall rating of eight out of ten.

Hybrid Cloud

Amazon Web Services (AWS)

What do you like best about the product?

Cloud native cyber asset, security configuration

What do you dislike about the product?

Nothing to dis like about this. Good application

What problems is the product solving and how is that benefiting you?

problems related to cybersecurity asset visibility and management, providing a platform to aggregate and analyze data from various sources to gain a comprehensive view of an organization's digital assets and attack surface

What do you like best about the product?

I love how easy it is to set up integrations across different applications. Every aspect of JupiterOne encourages smooth automation and visual presentation through its insights tab. As an auditor, I highly appreciate JupiterOne's ability to update and reuse evidence automatically across different security frameworks - cutting down the tedious work of evidence submission/review by around 80%.

What do you dislike about the product?

I wished there was more documentation on how to pull more information from the raw data. More short instructional videos on how to use J1QL. The inability to edit controls on the compliance page, and finally, dark mode 😄

What problems is the product solving and how is that benefiting you?

Cutting down costs and time involving compliance and security posture.