Eureka DevSecOps
SOLUTIONS · VULNERABILITY OVERLOAD

Too many vulnerabilities? Prioritize the few that matter.

Scanners give you a long list sorted by severity. Eureka threat-models your code and finds which vulnerabilities an attacker could chain together. Those go to the top. Autofix writes the fix and opens a pull request. You review and merge.

prioritization workflowillustrative
01
Findings
Severity, source and status
02
Scenario review
Conditions, linked findings and potential impact
03
Prioritized work
Decisions and remediation connected to the record
scanner findingsillustrative
SCA · dependency findings
SAST · code findings
Secrets findings
Quality and configuration findings

Severity-sorted lists do not show how findings could connect.

Problem

A vulnerability list does not answer every question about your application

A scanner can tell you what exists. It does not always show how findings could connect, what an attacker would need or what could be affected in your application.

  • Scanner findings are scattered across tools, exports, and dashboards
  • A finding’s severity does not answer every application-specific question
  • A lower-severity finding may deserve closer attention when it contributes to an attack scenario.
  • Connected weaknesses can create concerns that a single severity score does not show
  • Your team can spend time on the longest list instead of the findings that most deserve attention
Reality

Attackers do not stop at individual vulnerabilities

Once attackers gain an initial foothold, they look for connected weaknesses that let them move deeper: exposed entry points, vulnerable dependencies, leaked secrets, weak controls and workflow gaps.

Eureka uses AI agents to threat-model your code and builds attack scenarios from your findings: where an attacker starts, which vulnerabilities they chain, and what they could reach.

01

Priority comes from context

Severity is one input. Your application’s context helps decide which findings deserve attention first.

02

Vulnerabilities are not equal

A lower-severity issue may become critical when it connects to a larger attack scenario.

03

Scenarios show the connections

Inspect the conditions, linked findings and potential consequences a modeled scenario describes.

04

Decide with the team

Developer assessment of the conditions and potential impact informs urgency and the next action.

Illustrative scenarionot a captured Eureka graph
entryPublic API endpoint
scalodash prototype pollution
secretLeaked AWS key in repo history
targetCustomer PII datastore
illustrative scenarioconditions · linked findings · impact
Customer perspective
“It's highlighting things that we've ignored in the past. Over time, individually, these things we're like, well, that's not a big deal, that's not exploitable… but now maybe they are in this chain.”
John Kennedy
VP of Engineering, Macabacus
Prioritization

From findings to prioritized work

01
Findings

Severity, source and workflow status from the scanners you use.

02
Scenario review

Developers inspect the conditions, linked findings and potential impact.

03
Prioritized work

Decisions and remediation activity stay connected to the finding record.

High severity is not always high risk. A lower-severity issue can deserve more attention when it contributes to a scenario with serious potential impact.

Portrait of Farshad Abasi, Co-Founder and Co-CEO of Eureka DevSecOps
Expert perspective

Why severity scores fall short

Scanner severity is useful, but it is only one signal. A critical finding may be lower priority if it does not create meaningful risk in your application. A lower-severity finding may deserve closer attention when it contributes to an attack scenario.

"Severity is a property of the vulnerability. Risk is a property of the business. Most reports conflate the two."
Farshad Abasi
Co-founder, Eureka DevSecOps · OWASP SPVS Project Co-Lead

Built by leaders behind the OWASP Application Security Verification Standard (ASVS) and Secure Pipeline Verification Standard (SPVS).

Severity signal

Shows how serious a finding looks on its own, before any application context.

Business context

Shows whether the finding affects the systems, users, data, or workflows that matter.

Conditions and potential impact

Shows what an attacker would need and what could be affected if a scenario played out.

Attack scenario context

Shows how the finding could connect to other weaknesses in a modeled attack scenario.

Related thinking: Security design reviews, threat modeling and business context are key inputs when scanner severity alone does not show what to fix first.

How Eureka prioritizes

From severity scores to informed priority

Severity is the starting point. Attack scenarios add conditions, connections and potential consequences for developers to assess, and decisions stay connected to the finding record.

01

Eureka scans your code

Eureka Managed Scans runs SAST, SCA and secrets scanning on your repositories and collects every finding.

EUREKA DOES THIS
02

Eureka finds the attack scenarios

Eureka threat-models your application and chains vulnerabilities into attack scenarios.

EUREKA DOES THIS
03

Eureka ranks what to fix first

Every attack scenario gets a score. The higher it is, the more likely it can be exploited. Fix those first.

EUREKA DOES THIS
04

Eureka writes the fix

Click Autofix on a finding in a GitHub repository. The agent writes the fix, scans again to check the vulnerability is gone, and opens a pull request.

EUREKA DOES THIS
05

You review and merge

Review the pull request and merge it. Eureka keeps the audit history: what was found, what changed and who approved it.

YOU DO THIS
Clarity

See what actually creates application risk

Follow a finding from scenario context to a recorded team decision and into remediation.

Select a view
01

Scenario context

Inspect the conditions, linked findings and potential impact.

  1. 01
    Finding
  2. 02
    Associated scenario
  3. 03
    Conditions and impact
Illustrative workflow
AI-era urgency

AI does not change what matters.

It changes how quickly threat actors find and exploit weaknesses.

AI-assisted vulnerability discovery is increasing the speed and volume of findings. Anthropic Mythos is an early signal of what security teams should expect next: more vulnerability discovery, faster pressure to patch and larger backlogs that still demand context before anyone knows what to fix first.

01

More findings, less time

AI-assisted discovery compresses the window between vulnerability discovery, disclosure, pressure to patch, and customer scrutiny.

02

More output does not mean better decisions

Scanner volume is harder to manage when your team lacks the context to decide what deserves attention.

03

The defensible response is prioritization

Your team needs context to decide what matters and a decision record that is preserved as work happens.

Works with your scanner stack

Integrate with the tools you already trust.

Fix what matters first.

Your team may already use Snyk, GitHub Advanced Security, Semgrep, Veracode, SonarQube or other scanners. Eureka does not need to become another disconnected dashboard. It helps turn scanner findings into scenario-informed prioritization, remediation tracking and audit history.

01

Built-in checks

Start with Eureka-supported coverage for code, secrets, and supply chain so your team can create an application security baseline.

02

Existing scanner output

Bring findings from the tools your team already uses, where supported, instead of managing fragmented outputs across separate dashboards, and reports.

03

Attack-scenario context

Inspect how findings could connect, the conditions an attacker would need and what could be affected.

04

One workflow

Move from scattered reports to prioritized action, remediation tracking, decision history, and audit history.

Evidence

Act on the finding.

Keep the proof.

Prioritization only matters if your team can act on it and show what changed. Eureka keeps the record of each finding, decision and remediation step, so your team can show which risks were handled and which were accepted.

01

Attack scenario record

Show which findings were connected in a scenario, how your team assessed it and what work followed.

02

Remediation history

Track what was fixed, when it changed, and whether the finding was validated or reopened.

03

Decision trail

Capture accepted, deferred, or approved risk with the context attached to the finding.

04

Clearer record for review

Give customers, auditors, or reviewers a clear record of what was found, handled, and documented.

FAQ

Frequently asked questions.

Common concerns about vulnerability prioritization and AppSec evidence.

Stop guessing.

Start prioritizing with context.

Eureka helps your team move from scanner findings to scenario-informed priority, focused remediation and a clear record of what changed.

No scanner maze. No spreadsheet scramble. No guessing what happened later.