Exploitability Scoring for CI/CD Alerts
TL;DR
CI/CD plugin for DevOps engineers, SREs, and AppSec teams at mid-size tech companies (50–500 employees) using SAST/DAST in GitHub Actions/GitLab CI that adds exploitability scores (0–10) and ML-based false positive filtering to alerts so they cut triage time by 70%+ and deprioritize low-risk issues automatically
Target Audience
DevOps engineers, SREs, and Application Security (AppSec) teams at mid-size tech companies (50–500 employees) using SAST/DAST tools in CI/CD pipelines
The Problem
Problem Context
DevOps and security teams use SAST/DAST tools in CI/CD pipelines to catch vulnerabilities early. But these tools generate too many alerts—most of which are either false positives or low-risk issues. Teams waste hours triaging noise, and critical vulnerabilities get lost in the clutter. The result is slower releases, frustrated developers, and security teams chasing ghosts.
Pain Points
Alerts lack context about whether a vulnerability is actually exploitable in production. Security tools slow down releases because devs ignore ‘non-blocking’ issues or get overwhelmed by noise. Manual triage is time-consuming, and false positives erode trust in the security process. Teams end up either blocking too much (slowing devs) or missing real risks (creating security gaps).
Impact
Wasted time: Devs spend 5+ hours/week triaging false positives. Delayed releases: Blocked PRs cost teams $500–$5,000/hour in lost revenue. Security gaps: Critical vulnerabilities slip through because they’re buried in noise. Frustration: Devs and security teams blame each other, creating a toxic ‘us vs. them’ culture.
Urgency
This problem can’t be ignored because it directly blocks software delivery. Every delayed release is lost revenue, and every missed vulnerability is a security risk. Teams need a solution that reduces noise now without requiring them to replace their existing tools or workflows. The longer this goes unsolved, the more technical debt and frustration build up.
Target Audience
DevOps engineers, SREs, and Application Security (AppSec) teams at mid-size tech companies (50–500 employees) using SAST/DAST tools like Snyk, Checkmarx, or SonarQube in their CI/CD pipelines. Also affects startups and enterprises with fast-moving development teams who can’t afford to slow down for manual triage.
Proposed AI Solution
Solution Approach
A lightweight plugin for CI/CD tools (e.g., GitHub Actions, GitLab CI) that adds *exploitability scoring- to every SAST/DAST alert. Instead of just listing vulnerabilities, it tells teams: ‘This is critical (exploit exists in the wild),’ ‘This is low-risk (no known exploits),’ or ‘This is likely a false positive.’ The plugin integrates with existing scanners and enriches alerts with data from CVE databases and proprietary exploitability models.
Key Features
- False Positive Filtering: Uses ML to flag low-confidence alerts as ‘likely noise.’
- CI/CD Integration: Installs via a single config line (e.g.,
yarn add exploit-scorer) and works alongside Snyk/Checkmarx. - Context-Rich Reports: Shows exploitability trends over time (e.g., ‘Your team marks 80% of score-2 alerts as false positives’).
User Experience
Devs and security teams see enriched alerts in their existing CI/CD interface. For example, a SonarQube alert might now show: ‘Critical (Score: 9/10) – Exploit exists in wild. Fix before merge.’ Low-risk issues are deprioritized automatically. Teams spend less time triaging and more time fixing what actually matters. The plugin also surfaces trends (e.g., ‘Your team ignores 60% of score-3 alerts—are these false positives?’).
Differentiation
Unlike existing SAST/DAST tools, this plugin doesn’t replace them—it makes them smarter. It’s the only solution focused on exploitability context, not just vulnerability detection. Competitors like Snyk or Checkmarx generate noise; this plugin turns noise into signal. It’s also zero-setup: no admin rights, no new tools to learn, just a config line in your pipeline.
Scalability
Starts with per-user pricing ($20–$50/user/month) and scales as teams grow. Adds value over time with features like historical exploitability trends and custom false-positive rules. Can expand to support more CI/CD tools (e.g., Jenkins, Azure DevOps) and add integrations with ticketing systems (e.g., Jira) for automated triage.
Expected Impact
Teams reduce alert noise by 70%+, cut triage time from hours to minutes, and ship software faster without sacrificing security. Security teams focus on real risks, not false positives. Devs trust the process again, and the ‘security vs. devs’ tension fades. The plugin pays for itself in the first month by saving time and preventing blocked releases.