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BackWhat is Software Composition Analysis (SCA)?
Software Composition Analysis (SCA) is the process of identifying, tracking, and evaluating the open-source and third-party components used inside software.
In practice, Software Composition Analysis (SCA) helps organizations understand what dependencies are present, which versions are in use, whether they contain known vulnerabilities, and whether they introduce license or policy risk. It is a core control for reducing software supply chain security exposure before vulnerable components reach production.
How does it work?
SCA tools scan source repositories, dependency manifests, package manager files, container images, build artifacts, or binaries to create a component inventory. That inventory is compared against vulnerability databases, license data, version histories, and organizational policies.
The output usually includes vulnerable packages, affected versions, transitive dependencies, recommended upgrades, license issues, and risk severity. Teams can then fix dependency problems through upgrades, replacements, exception workflows, or compensating controls.
| SCA activity | Operational value |
| Component discovery | Builds visibility into direct and transitive libraries, frameworks, packages, and dependencies. |
| Vulnerability matching | Maps components to disclosed vulnerabilities, severity data, exploit signals, and available fixes. |
| Policy enforcement | Blocks or flags risky dependencies based on security, license, age, or approval rules. |
Software Composition Analysis vs SBOM
An SBOM is a structured inventory of software components. SCA is the process and tooling used to discover, evaluate, monitor, and act on those components.
Many organizations use both together. An SBOM provides a record of what software contains, while Software Composition Analysis (SCA) continuously checks that record against vulnerability, license, and policy intelligence as risks change.
How Hexnode supports Software Composition Analysis
Hexnode supports SCA programs by strengthening the endpoint and runtime side of software governance. While SCA usually starts in development and build pipelines, Hexnode UEM can help teams validate what is actually installed across managed endpoints through endpoint visibility, software inventory, application controls, compliance checks, patch workflows, and remote actions.
This helps close the gap between build-time dependency risk and real-world exposure. When SCA identifies a risky application version or vulnerable dependency path, Hexnode can help IT and security teams locate affected devices, enforce policies, manage updates, restrict unauthorized apps, and improve security posture management.
When should organizations use it?
Organizations should use Software Composition Analysis (SCA) when they build software, deploy vendor applications, rely on open-source packages, ship containers, or need evidence for software supply chain risk management. It is especially important for regulated industries, SaaS providers, DevSecOps teams, and enterprises with many internal applications.
It should run early in development, during builds, before release, and continuously after deployment. Dependency risk changes over time, so a clean scan today does not guarantee that the same component will remain safe tomorrow.
FAQs
No. SCA is most commonly associated with open-source dependencies, but it can also support analysis of third-party, commercial, embedded, and transitive components.
No. SCA reduces component risk, but it should be combined with secure build pipelines, code review, artifact signing, access controls, runtime monitoring, and incident response.
Scans should run on commits, pull requests, builds, releases, and deployed software inventories. Continuous monitoring matters because new vulnerabilities can be disclosed after release.