"OpenSSF Scorecard: Automating Risk Signals for Open-Source Dependencies"
Open-source supply-chain risk rarely fails in dramatic, obvious ways—it erodes through small, compounding gaps in review discipline, CI hardening, release integrity, and dependency hygiene. This book is written for experienced engineers, security practitioners, and platform teams who need repeatable, automatable signals—not hand-wavy assurances—to evaluate and govern the open-source they depend on and the projects they maintain.
You'll learn Scorecard's core model: checks as repository-observable evidence, scoring mechanics, and expert interpretation that avoids the classic traps of "overall score" tunnel vision and misleading comparisons. The chapters progress from threat mapping and uncertainty handling into operational mastery: running the CLI with reproducibility discipline, integrating Scorecard into GitHub Actions, publishing results via JSON and SARIF, and scaling consumption through dashboards, trend analysis, and ecosystem benchmarking. You'll also build practical governance: policies that combine thresholds with must-pass controls, CI gating patterns resilient to drift and outages, and auditable exception workflows that reduce friction without hiding risk.
Advanced sections cover Scorecard v5+ structured results and probes, including probe selection strategies, migration planning across breaking changes, and building custom policy engines and evidence bundles. Readers should be comfortable with CI/CD, GitHub workflows, and interpreting machine-readable security outputs; the book's differe
