The same vulnerability is not the same risk for you.
Your scanners flag thousands of "criticals," and AI is helping attackers find and weaponize them faster than ever. Triage by raw CVSS and you burn the team on bugs that can't be reached - while the one that actually matters sits exposed. Koopic scores every finding on your assets against your environment, so the priority list is yours, not a vendor's average.
- · segmented / not reachable
- · EDR blocks the exploit path
- · dev workload, low criticality
- · internet-facing
- · no compensating control
- · crown-jewel database
Same CVE, same exploit signal, same base score. Opposite priority - because the environment differs.
Koopic prioritizes every vulnerability on your assets against your own environment - exposure, mitigating controls, asset criticality, and live exploit intelligence (EPSS, CISA KEV) - plus org-tunable weights and your own priority rules. The same CVE can be contained on one asset and a P0 on another, and every score carries a per-factor explanation, so your team works the short list that reflects your real risk instead of a generic CVSS ranking.
Attackers now use automation and AI to discover and weaponize vulnerabilities at a pace defenders have never faced. Finding volume keeps climbing; the time from disclosure to mass exploitation keeps dropping.
A finite team cannot patch everything, and triaging by raw severity wastes its hours on bugs that can't hurt you. The only way to stay ahead is to spend effort exactly where the real risk is - which means prioritization that understands your environment, not a one-size score.
Your environment decides the risk
Koopic re-scores every finding against the factors that actually change whether a vulnerability can hurt you - the context a generic score has no way to know.
Exposure
Is the asset internet-facing, or segmented and unreachable from the outside? Reachability changes the risk more than the CVSS base ever will.
Mitigating controls
EDR that blocks the exploit path, a WAF, network segmentation, disk encryption. A control that already neutralizes the bug drops its effective risk - with the reason shown.
Asset criticality
A crown-jewel database and a throwaway lab box do not carry the same weight. Business context pulls the truly important assets to the top.
Exploit signal
EPSS probability, CISA KEV listing, and confirmed exploitation in the wild. A bug being actively used right now outranks a theoretical one.
Tuned to how your team thinks about risk
Environment-specific also means yours to shape. Set the weights, write your own priority rules, and cap accepted risk so exceptions stay visible instead of buried. And because every score is explainable, you can defend the order to an auditor or a board without hand-waving.
- Org-tunable weights and drag-to-reorder custom priority rules
- Risk-exception caps keep accepted risk visible, not hidden
- A per-factor breakdown on every finding - no black box
On top of the scanners you already run
Ingest
Findings from your scanners and security tools are merged onto unified golden-record assets and deduplicated per asset and CVE - one bug on one machine is one finding, not five copies.
Contextualize
Each finding picks up your environment: exposure, mitigating controls, asset criticality, and live exploit intel (EPSS, CISA KEV) - the context that decides whether it can actually hurt you.
Rank & explain
Your weights and rules produce a short, ordered list, and every score has a per-factor breakdown - so the order is yours, and you can defend it.
Environment-specific prioritization FAQ
How is this different from CVSS or a vendor risk score?
What inputs go into the score?
Can we tune it to how our organization thinks about risk?
Does this replace our scanner?
Why does AI-driven exploitation make this more urgent?
See your real priority list
We will score a sample of your findings against your own environment - exposure, controls, criticality, exploit intel - and show you the order your team should actually work.