Eureka collects every finding
Eureka runs SAST, SCA and secrets scans on your repositories and pulls in findings from the other scanners you use. One list.
Eureka collects every finding, removes duplicates from the same scanner, and threat-models your code to find the attack scenarios. Findings inside high-scoring attack scenarios go to the top of your list. Fix those first.
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Eureka runs SAST, SCA and secrets scans on your repositories and pulls in findings from the other scanners you use. One list.
Each finding is marked New, Fixed, Snoozed or Ignored, so you see what changed since the last scan.

Eureka removes duplicate findings from the same scanner. If two different scanners report the same issue, mark one as a duplicate.

Snooze a finding until a set date. When the date passes, it comes back on the list.

Filter by severity, status, SLA or ASVS, and save the filter as your own view.

Each finding shows the affected code, how to fix it and the OWASP ASVS requirement it relates to.

Eureka threat-models your code and chains vulnerabilities into attack scenarios: what an attacker could exploit first, what that lets them exploit next, and the impact.

Each finding shows the attack scenarios it belongs to. Findings inside high-scoring attack scenarios go to the top of the list.
Review the scenario behind a concern, record how your team handles the finding, and move into remediation with that context attached. Eureka connects those steps in the application-security workflow.
Inspect the conditions and linked findings.
Record the decision and its rationale.
Follow the remediation activity as work progresses.
Ready to fix it? For findings in GitHub repositories, press Autofix. An AI agent writes the fix, Eureka scans to check it, and opens a pull request for you to review.
Eureka brings severity, source, workflow status and, where a finding belongs to an attack scenario, the scenario’s conditions, linked findings and potential impact into the same review. Your team makes the call and records the reasoning.
Severity describes a finding in isolation. It does not answer every application-specific question, such as what access an attacker would need or how the finding relates to other weaknesses.
It can. When a lower-severity finding contributes to an attack scenario, its conditions and potential impact give your team a reason to look again and decide whether it deserves more attention.
No. The scenario exploitability score assesses a modeled scenario. The vulnerability list has a separate per-finding attack-path score used to help surface findings associated with important scenarios.
Not necessarily. Review the scenario’s remaining conditions and linked findings to decide what further work is needed.
Eureka removes duplicate findings from the same scanner automatically. If two different scanners report the same issue, you mark one as a duplicate. You can also mark false positives or accepted risks with a reason. They leave your active list and the decision stays on the record.
Yes. Teams can filter by status, branch, tag, source, version and other attributes to create views for a release, product, reviewer or team.
Recorded decisions show why findings were fixed first, deferred, accepted or ignored. That helps teams explain how AppSec decisions were made.
Start with a scan. Review findings with their context, keep every decision attached to the record, and carry the next step into remediation.
30-day free trial. No credit card required.