Case Study
VulnSense
A risk-scored vulnerability workflow for 120 repositories and 600 container images with SLA automation and owner routing.
SCASASTPR BotGitHubGitLabJira
Project Details
The client operated 120 repositories and 600 container images. SCA and SAST findings were accumulating and high-severity issues were leaking into production workflows.
We built VulnSense with a PR bot, risk scoring engine, and SLA timer automation. Owner routing pushed findings to the right teams through GitHub/GitLab, Jira, and Slack integrations.
+Kodcuk Approach
Architecture decisions were shaped around scale, reliability, and operational clarity.
Key Delivery Layers
+A risk gauge surface unified severity, impact, and remediation priority.
+SLA policies automatically escalated findings approaching breach windows.
+PR-based safe fixes, ticket linkage, and validation checks were standardized end to end.
Measured Outcomes
Critical finding median closure: 21 days to 9 days
Noise reduced by 28%
