Synopsys software composition analysis (SCA) offers multiple open source scanning technologies so you get the most complete and accurate view of open source in your applications and containers. Our open source scanning combines build process monitoring, file system scanning, and source code analysis to track all open source in use, including components most SCA tools miss.
Integrates with build tools like Maven and Gradle to track both declared and transitive open source dependencies in applications built in languages like Java and C#.
Maps string, file, and directory information to the Black Duck KnowledgeBase to identify open source and third-party components in applications built using languages like C & C++.
Identifies open source within compiled application libraries and executables. No source code or build system access required.
Finds parts of open source code that have been copied within proprietary code by developers or generative AI coding tools, which can potentially expose you to license violations and conflicts.
Uses a combination of binary and CodePrint analysis to identify open source dependencies in container images, layer by layer.
Most other solutions rely solely on package manager declarations to identify open source components. But these solutions miss a lot of open source that may be in your code, including:
Our SCA integrations make it easy to incorporate open source scanning into your existing development tools and processes. This makes it possible to automatically identify which languages and package managers you’re using, configure the appropriate integrations for discovery, and find the most effective way to analyze your code.
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