Software composition analysis identifies and evaluates third-party components and dependencies so known security risk in the software supply chain can be managed.
Software composition analysis, or SCA, is the process of identifying and evaluating third-party components, libraries, and dependencies used by an application. In plain language, it helps teams understand what outside code they are relying on and whether that dependency set creates known security risk.
SCA matters because modern software is built from far more than a team’s own code. Open-source libraries, frameworks, containers, and packages can introduce security risk if they are outdated, vulnerable, or poorly governed.
It also matters because supply-chain visibility is now a core part of application security. A team cannot manage software risk well if it does not know what components it has shipped or inherited.
SCA appears in CI pipelines, dependency governance, release review, SBOM efforts, and container-security workflows. Teams use it to track third-party components, identify known dependency issues, and prioritize updates or policy decisions.
Security teams pair SCA with Secure Coding, Static Application Security Testing, and Container Security because application risk comes from both first-party code and external components.
A development team uses a web framework and several open-source packages for authentication, logging, and file handling. During a release review, the SCA process shows that one dependency version has a known high-severity issue, so the team upgrades or replaces it before deployment.
SCA is not the same as SAST. SAST inspects the application’s own code patterns. SCA focuses on third-party components and dependency risk.
It is also not a guarantee that the application is safe once dependency issues are addressed. Secure application design still depends on first-party code quality, runtime protections, and operational controls.