Software Composition Analysis
The attacks we see today require organizations to look beyond traditional vulnerability scanners and use more proactive AI-powered tools earlier in the software development cycle. This is a major shift in how organizations have secured open source code in the past. Socket is a pioneer in malicious detection and offers best-in-class license scanning, leveraging our deep expertise in open source software to provide our customers with unparallel security when it counts.
Software Composition Analysis (SCA) is a critical practice that identifies and manages all open source and third-party components within a software application. By analyzing dependencies, licenses, and potential vulnerabilities, SCA ensures your software is secure, compliant, and free from hidden risks. Socket goes beyond traditional SCA tools to provide AI-powered threat detection, analyzing the actual code of your dependencies, early in the development process.
Protection against zero-day supply chain attacks
Vulnerability scanning (CVE's)
Open source dependency visibility
Dependency optimization tools
Best-in-class open source license scanner
Configurable license enforcement policy
Integrations for all your favorite tools
Our advanced license detection system identifies over 2,000 license types, providing unparallel coverage.
Socket's License Enforcement feature allows developers to avoid incorporating code that could violate licensing terms even before it's merged into a pull request (PR).
Enforce open source compliance with an easily configurable policy that seamlessly integrates with your GitHub PR workflow.
Understanding where a license violation originates from is crucial. Socket offers detailed provenance data, allowing developers to trace the origin of potential license issues back to their source, empowering teams to make informed decisions.
We help security teams work more efficiently
Get actionable alerts for the supply chain risks that matter. Socket highlights risky dependencies directly within the developer workflow.