What problem does it solve? Known CVEs in dependencies, container images, and infrastructure-as-code often go undetected until exploited, and teams lack a systematic process to triage, prioritize, and remediate findings within defined SLAs. ## Core Features & Use Cases - Multi-layer scanning: Configures Trivy for container and IaC scanning, Safety and npm audit for dependencies, and Checkov for Terraform misconfigurations, all integrated into GitHub Actions CI pipelines. - CVE triage workflow: Provides a Python-based triage processor that fetches CVSS details from the NVD API, assesses contextual exploitability, and generates prioritized remediation reports. - SLA-driven remediation: Enforces severity-based SLAs (CRITICAL 24h, HIGH 7d, MEDIUM 30d, LOW 90d) with suppression expiry dates, accepted-risk registers, and SBOM generation for compliance. - Use Case: A platform team adds the provided GitHub Actions workflow so every pull request and nightly build scans images and dependencies, blocks merges on CRITICAL CVEs, uploads SARIF results to GitHub Security, and produces a CycloneDX SBOM for each release. ## Quick Start Ask the AI to set up Trivy-based vulnerability scanning in your CI pipeline that blocks deployments on critical CVEs and generates a triage report with remediation SLAs.