JupiterOne Cybersecurity Data Insights Platform

My main use case for JupiterOne is related to banking, specifically global retail banking. I use JupiterOne to unify cloud, SaaS, and on-prem assets to achieve visibility. I have achieved 99.9% uptime and reduced audit preparation time by 40%. Continuous monitoring is another aspect I generally conduct through JupiterOne, which flags misconfigurations in payment gateways before they impact customers.

One example in my project is with the European Investment Bank, where JupiterOne has leveraged continuous controls monitoring (CCM) to help stay compliant with different SOX and PCI DSS regulations. This has reduced manual compliance efforts by 80-90%. The system improved fraud detection by accurately correlating data during critical business operations. JupiterOne also integrates with AWS and Azure cloud workloads, detecting IAM role misconfigurations in real-time, thus preventing unauthorized access to sensitive financial data. Overall, it has also reduced mean time to incident resolution from hours to minutes.

Earlier, my audit preparation was a manual compliance task where I assigned tasks to different associates based on manual work. After using JupiterOne, I transitioned to an automated approach for audit readiness, enabling limited users access to assigned tasks and streamlining everything. This automation reduced manual work by 40-70% and significantly improved my audit readiness.

Fraud detection stands out as a key feature of JupiterOne. It prioritizes data, especially AI-driven data, and the accuracy of fraud detection is at 95%.

One of the best features JupiterOne offers is its graph-native asset model, which illustrates the relationships between users, workloads, and permissions, particularly in the banking sector. This helps me understand who logs in daily, identifies authorized users versus unauthorized ones, and monitors legal transactions versus improper ones. It provides clarity on transaction types, whether online payments, manual withdrawals, or ATM use. Another excellent feature is continuous controls monitoring, which constantly tracks access systems. Unified Vulnerability Management (UVM) is also a standout feature, along with AI-powered natural language queries that allow querying databases for transaction metrics and user profits, giving an overview of operations.

JupiterOne could improve regarding the cost, as enterprise deployment can be costly. The challenge of high costs, particularly with the integration of third-party applications to access banking systems, should be addressed.

Skills development is another important area that needs attention, as teams require training in graph-based query language to effectively handle large transaction datasets. Additionally, addressing integration complexity across diverse SaaS and on-prem systems is essential.

I have been working in my current field for the last six years.

JupiterOne is stable.

JupiterOne's scalability is impressive, particularly compared to other tools in the market. It handles diverse daily data, supports multi-cloud environments, and accommodates thousands of users and applications. Given my use of AWS cloud, it integrates with over 200 operations across different models.

I would rate customer support eight out of ten, as it is very good.

I did not use any different solution. I started with JupiterOne from the outset.

With JupiterOne, I have reduced the number of employees needed due to increased automation, which has also led to significant cost savings. Earlier, costs were about $10,000 per quarter, which has now decreased to $2,000. I have saved approximately $8,000.

I think some other tools were considered, but none of them met my standards. The only one mentioned was ServiceNow GRC, which my team evaluated prior to choosing JupiterOne.

Using JupiterOne, I have observed an increase in transaction success rates to 99% without improper data, translating to 99% time saved. Audit readiness has improved due to a 40-70% reduction in manual work, shifting towards automation. Incident response time has improved significantly, going from over one hour to just minutes.

JupiterOne has benefited my organization through continuous compliance, allowing valid user access and maintaining audit trails that minimize regulatory risk. I conduct quarterly audits to ensure continuous compliance by understanding system interactions and roles of access, including customer and third-party interactions. Governance automation is another benefit, enabling the mapping and control of multiple frameworks simultaneously. Real-time monitoring has reduced downtime and financial risk, contributing to overall operational resilience. AI-driven prioritization has lessened false positives, enhancing transaction accuracy, ensuring reliability.

Regarding governance and security, JupiterOne offers robust capabilities. It features an AI attack surface management (ASM) option that maps risks across cloud and SaaS systems and integrates AI effectively. AI-driven queries enhance compliance and risk reporting accuracy, allowing for valid data extraction from substantial datasets. The predictive risk modeling identifies attack paths linked to third-party vendor access and enforces policy adherence.

In terms of output accuracy and reliability, JupiterOne delivers trustworthy results. Using AI queries, it processes large data sets efficiently, managing thousands of transactions with precision. In just seconds, it provides accurate counts and results. The governance and security aspects are stable, with restricted access to ensure unauthorized users cannot interfere.

I would advise that JupiterOne is a stable and scalable cybersecurity and governance platform, particularly in financial services and banking sectors. It provides real-time visibility, continuous compliance, monitoring, AI-driven risk prioritization, and governance automation. These features enhance audit readiness and improve fraud prevention. I rate JupiterOne nine out of ten because it is scalable, stable, and well-suited for retail, investment, and banking sectors. It excels in graphical asset management and includes useful AI features, making it superior to other market tools.

Private Cloud

Amazon Web Services (AWS)

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.

What do you like best about the product?

The query syntax for finding assets matching filters

What do you dislike about the product?

There's a significant barrier to entry in learning all the different features because it's got so much.

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

Finding assets in a large production environment and identifying security risks. J1 also makes completing audits a breeze.

What do you like best about the product?

Every aspect of using JupiterOne and self-serve product onboarding is simple, painless, and intuitive. Compliance is complicated and this is a VERY sophisticated product, but they have removed the headache from the process.
Virtually anyone can integrate their environment within minutes and begin adding evidence to begin assessing SOC, PCI, and HIPAA controls. This can save organizations hundreds of thousands of dollars and months on SOC, ISO, and PCI certifications.
Their sales and support team are very kind, responsive, and helpful, too!

What do you dislike about the product?

I like everything about JupiterOne - no issues!

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

We needed to quickly perform a comprehensive risk assessment and create a cost-effective approach to compliance.

Recommendations to others considering the product:

Proceed with confidence.

What do you like best about the product?

Ability to inventory assets and configurations with GraphQL API.

What do you dislike about the product?

Performance can be improved because of rate limiting.

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

Configuration management of all cloud resources to improve correlation.

Recommendations to others considering the product:

Instead of multiple accounts to monitor configurations, you just need one.

What do you like best about the product?

The best thing that I like about JupiterOne is it provides continuous instrumentation and monitoring of cloud environments and controls.
It provides automated reporting and evidence collection for compliance.
We can easily visualize relationships in our digital environment to understand what exactly is going on.
We can ask simple questions for which we will receive strong and satisfying answers.

What do you dislike about the product?

As of now I have not came across any issue or drawbacks because of which I'll dislike JupiterOne. I would like to add/edit my review in future if I come across anything that would incline me towards disliking this software.

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

One of the best benefit of this software is we can enables our team to continuously protect our customers, and our business with the help of this software. With the help of automation it eliminates countless hours it takes to build out and maintain our digital environment.

Recommendations to others considering the product:

One of the great software. Must try and explore the features provided by it.