RESOURCES · GUIDE

What is Software Composition Analysis (SCA)?

SCA identifies the open source components inside your software, then maps them to known vulnerabilities and license obligations. Here is how it works, where manifest-only scanning falls short, and what to look for in a tool.

Why SCA exists

Industry reports such as the Synopsys OSSRA consistently find that well over two-thirds of modern application code comes from open source. Every one of those components carries two kinds of inherited risk: security vulnerabilities (CVEs discovered after you shipped) and license obligations (copyleft terms, attribution requirements, usage restrictions). SCA is the discipline — and the tool category — that makes both visible and manageable.

How SCA works

An SCA engine answers three questions in sequence:

• What is in the software? Component identification via manifest parsing (package.json, pom.xml), dependency-tree resolution, and — in stronger tools — fingerprint matching against a knowledge base of open source code.
• Is any of it dangerous? Matching identified components against vulnerability sources (CVE, vendor advisories, proprietary intelligence) with version-accurate mapping.
• Is any of it non-compliant? Mapping each component's license to your usage context and flagging conflicts — GPL in a proprietary product, AGPL in a SaaS backend, missing attribution.

Snippet-level vs manifest-only scanning

	Manifest-only	Snippet-level
What it reads	Declared dependency files	The actual source code, matched by fingerprint
Catches copied code	No — copy-pasted or vendored open source is invisible	Yes — identifies fragments down to function level
Catches renamed / modified components	No	Yes, via code similarity
Typical use	Fast CI checks	Compliance audits, M&A due diligence, IP protection

The difference matters most in exactly the scenarios where the stakes are highest: license audits before an IPO or acquisition, and AI-generated code that may reproduce open source fragments without any manifest entry. For a deeper comparison, see snippet-level vs manifest-based SCA.

Where SCA fits in the pipeline

Modern SCA runs at three points: in the IDE (developer feedback at intake), in CI (risk gates that block builds over threshold), and at release (SBOM generation and compliance evidence). Incremental scanning matters here — routine CI runs should analyze only the diff so the gate does not slow the pipeline.

What to evaluate in an SCA tool

Five dimensions: detection capability (snippet-level or manifest-only), data quality (vulnerability database coverage and freshness), false-positive governance (reachability analysis, policy customization), engineering fit (CI/IDE integration and scan speed), and compliance output (SBOM formats, audit reports). A proof of concept on your own codebase beats any spec sheet — see the full evaluation guide.

FAQ

Is SCA the same as SAST?

No. SAST analyzes the code you wrote for defects; SCA analyzes the third-party components you use. Mature DevSecOps programs run both.

Do I need SCA if I already generate an SBOM?

An SBOM is an inventory document; SCA is the engine that produces and continuously verifies it. Without SCA, an SBOM is a one-off snapshot that drifts from reality.