SCA

What is Software Composition Analysis?

SCA, or Software Composition Analysis, is a category of security tooling that examines the open-source and third-party components your application depends on. Modern software is mostly assembled, not written from scratch. According to the Linux Foundation, open-source code makes up 70% to 90% of the code in a typical modern application.

That's a lot of code your team didn't write and doesn't directly control. Software Composition Analysis tools address this by:

• Building a software bill of materials (SBOM). An SCA tool inventories every open-source package, library, and framework in your application, including transitive dependencies (the dependencies of your dependencies, sometimes nested many layers deep).
• Matching dependencies against vulnerability databases. Every component is checked against databases like the National Vulnerability Database (NVD), GitHub Advisory Database, and vendor-specific feeds to identify known CVEs.
• Flagging license compliance issues. Open-source licenses (MIT, Apache, GPL, LGPL) carry different obligations. SCA tools identify which licenses are in your dependency tree and flag any that conflict with your intended use or distribution model.
• Monitoring for new disclosures. A dependency that's clean today might have a critical vulnerability disclosed tomorrow. SCA tools continuously monitor for new CVEs affecting your specific dependency versions.

Why Software Composition Analysis matters for startups

The software supply chain has become one of the most targeted attack vectors in cybersecurity. When a widely used open-source library has a vulnerability, every application that depends on it is potentially affected.

Here's why SCA matters for startups specifically:

1. Your attack surface is mostly code you didn't write. If 70% to 90% of your codebase is open-source, then the majority of your potential vulnerabilities live in code your team has never reviewed. SCA is the only systematic way to identify and track those risks.
2. Transitive dependencies are invisible without tooling. Your package.json or requirements.txt might list 30 direct dependencies. But each of those pulls in its own dependencies, which pull in theirs. A typical Node.js application can have hundreds or thousands of transitive dependencies. A vulnerability in any of them affects you, and you can't manage what you can't see.
3. Supply chain attacks are increasing. Attackers have learned that compromising a popular open-source package is more efficient than targeting individual companies. A single malicious package update can affect thousands of downstream applications. SCA tools detect when a dependency's risk profile changes, whether through a new CVE disclosure or a suspicious version update.
4. License violations create legal risk. Using a GPL-licensed library in proprietary software can create legal obligations you didn't intend. For startups heading toward acquisition or enterprise sales, undisclosed license conflicts in your codebase can derail due diligence. SCA surfaces these issues before they become problems.
5. Compliance frameworks require it. SOC 2 and ISO 27001 both expect you to manage vulnerabilities in your software, including third-party components. PCI DSS explicitly requires maintaining an inventory of third-party software. SCA provides the evidence trail that you're actively managing supply chain risk.

How SCA fits into your security stack

Software Composition Analysis works alongside SAST and DAST to provide complete application security coverage:

• SAST finds vulnerabilities in the code your team writes.
• SCA finds vulnerabilities in the code your team imports.
• DAST finds vulnerabilities in the running application, regardless of origin.

For startups, the most practical approach is a platform that runs all three as part of your CI/CD pipeline, so every pull request is checked for both first-party code issues and third-party dependency risks without requiring separate tools or workflows.