What is Software Composition Analysis (SCA)?
Software Composition Analysis (SCA) is the practice of identifying the third-party, open-source, and commercial components used in software and evaluating their associated risk. In practice, SCA connects component and version information with vulnerability, license, provenance, or maintenance data. It is a software supply-chain capability, not a substitute for secure design, code review, or application testing. A software bill of materials (SBOM) can provide useful inventory evidence, but its value depends on completeness, update discipline, and context for how components are used.
Component identification can come from source manifests, package managers, build artifacts, or deployed inventories. Each method has limitations, so teams should understand which applications, versions, and transitive dependencies their chosen approach can reliably observe.
What is Software Composition Analysis (SCA) used for?
Teams use SCA to maintain component visibility, enforce dependency policies, identify affected software when new vulnerability information emerges, and support remediation decisions in development and procurement workflows. A useful program integrates findings into build and change processes, then prioritizes them using exposure, exploitability, application criticality, and feasible ownership rather than severity alone.
