Establish unified vulnerability management workflow for DevSecOps findings
Implementation Effort: Medium – Defining a normalized, end-to-end triage and remediation process across many scanning tools requires coordination among security and engineering teams. User Impact: Low – Establishing the vulnerability management workflow is a security and engineering process change; end users are not affected. Lifecycle Stage: Govern
Overview
Establish a unified vulnerability management workflow that normalizes, prioritizes, assigns, and tracks DevSecOps findings from code to production.
A typical DevSecOps program generates findings from multiple scanning tools — CodeQL for SAST, Dependabot for SCA, secret scanning, IaC analysis, container image scanning, and DAST — each with its own interface, severity scale, and workflow. Without a unified vulnerability management process, those findings accumulate in silos and organizations become scan-heavy but risk-reduction-poor.
Define a single, end-to-end process where every new finding is triaged within a defined SLA, normalized to a common risk model, assigned to the responsible team, and tracked through remediation or formal exception handling. Use Microsoft Defender for Cloud where you need cross-domain aggregation across code, IaC, container, and code-to-cloud findings. Use GitHub Security Overview for GitHub-native views of code scanning, Dependabot, and secret scanning.
Connect findings to work tracking so remediation is handled as part of engineering delivery instead of a parallel security process. Where central ticketing or response workflows are required, use Defender for Cloud workflow automation and Logic Apps integration to route high-priority findings into ITSM, messaging, or remediation workflows. Normalizing and driving findings through to remediation supports Assume breach, since it ensures the weaknesses most likely to be exploited are prioritized and closed rather than left scattered across tools.