Fix what’s exploitable.
Ignore the rest.
Prioritize vulnerabilities based on real attack paths, controls, and impact. Reduce remediation queues by 90% and focus on what matters most.
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The Endless Vulnerability Queue
Security teams juggle findings across cloud, code, container, endpoint, and identity tools. CVSS scores create more noise than clarity, leading to missed SLAs and ever-growing backlogs.
01.
Your scanners are doing their job. The queue is the problem.
Every modern security team runs five or more tools that produce findings — cloud, code, container, endpoint, identity. Each one ranks vulnerabilities by CVSS and calls it prioritization. The result is a queue that nobody can clear, SLAs nobody can hit, and a backlog that grows faster than your headcount.
Severity scores don’t know your environment. They don’t know that the “critical” CVE is on a sandboxed dev box, or that the “medium” runs on the production asset your customer-facing app depends on. They don’t know which identity can reach which workload, or which compensating control already takes the risk to zero.
That context lives in the graph. It’s the only place prioritization actually works.
02.
Solution vs. Security Architect
JupiterOne ingests findings from every scanner you already run and re-prioritizes them against the live graph of your assets, identities, networks, and data. Each vulnerability gets a score that reflects whether it’s actually exploitable in your environment — not whether it could theoretically be exploitable somewhere.
Findings that share a root cause — the same image, library, or template across hundreds of assets — collapse into a single unit of work, so your team fixes once and closes many. The result: a short, ranked list of findings worth working today, with the context your engineers need to close them and the audit trail your CISO needs to defend the decisions.
Tuned to your environment
Findings, assets, ownership and compliance context — unified in JupiterOne and queryable with J1QL.
Exploitability scoring built on relationships
Scores findings by real exploitability, attack paths, identities, assets, and data.
Unified vulnerabilities: fix once, close many
Group findings by root cause, fix once, and close related vulnerabilities.
One queue across every scanner
Unify findings across tools, deduplicate alerts, and prioritize from one queue.
Transparent, tunable scoring
Explain every priority with J1QL rules your team can tune and audit.
From queue to closure
Route findings to owners with context and automatically close resolved tickets.
Continuous re-prioritization
Priorities update automatically as your environment changes, not after scans.
What you can expect.
90%
Reduction
100s
Findings Closed Per Fix
Days
To Remediate Critical Risk
1
Unified Findings Queue
100%
Auditable Prioritization
Trusted by security teams who stopped chasing severity.
We've more than recouped our investment .
With the cost savings from identifying and de-provisioning orphaned AWS resources and not having to purchase separate tools, we've more than recouped our investment in JupiterOne!
Manager, DevSecOps
Socotra
5x asset coverage, without any new headcount
From a merger/acquisition perspective, JupiterOne was invaluable. As M&A activities in cloud native companies become increasingly popular, there is no better way to identify and tag assets than using a tool like JupiterOne.”
Manager, CISO
Rippling
JupiterOne is core to our strategy.
My role is to bring secure-by-design products to market quickly. JupiterOne's asset tracking and compliance automation is core to how I execute on that.
Cloud Security Engineer
Mercury Financial
Three steps from finding to fix.
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Ingest
Connect scanners, cloud accounts, identity providers, and code repos. Findings stream into the graph automatically.
Ingest
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Prioritize
Each finding is scored against blast radius, exploitability, business context, and compensating controls.
Prioritize
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Act
Route the short list to owners in their tools of choice. Close the loop when the graph confirms remediation.
Act
Answers, in plain English.
These are the most common questions about scanners.
Can’t find what you’re looking for?
Send us an e-mail
Do we have to replace our scanners?
No. JupiterOne sits on top of the tools you already run. Bring your own scanners; we make their output usable.
How is this different from a vulnerability aggregator?
Aggregators consolidate findings into a single dashboard. We do that — and then we re-prioritize them against the graph of your environment. The list you see is shorter and the rank order is different.
If the same CVE shows up on 500 assets, do we get 500 tickets?
No. JupiterOne groups findings by root cause across the entire environment, so a vulnerability that lives in a shared image, library, or template shows up as one unit of work. Fix it once at the source, and every related instance closes automatically.
How long until we see value?
Most teams see a measurable drop in their active queue within the first 30 days of connecting their scanners and crown-jewel assets.
Will my auditors accept the deprioritization logic?
Yes. Every score is explainable, every rule is editable in J1QL, and every decision leaves a graph-backed audit trail.
Stop working the wrong findings.
See how JupiterOne prioritizes against the real graph of your environment — and what your team could be doing instead of clearing tickets that don’t matter.