We champion transparency in all our processes. With SCANOSS, there's no closed software; everything is Open Source. This transparency means you can fully understand how we detect Open Source in AI-generated code.
SCANOSS, with its integration into both Open Source and commercial Software Composition Analysis (SCA) tools, has established itself as a de-facto standard. Its widespread adoption offers companies a unified lens to assess Open Source components, ensuring they have the same visibility as the broader Open Source community.
SCANOSS goes a step further than merely generating SBOMs for your AI-powered projects. Our platform can take your existing SBOMs and embellish them with invaluable insights specific to AI-generated code. With this capability, you're not only tracking the Open Source components but also understanding the intricacies of how AI might have adapted or integrated them. This dual capability offers:
- Enhanced Visibility: Get a holistic view of every Open Source component, even when they are fragments embedded within AI-generated outputs.
- A Deeper Understanding: Glean insights into how AI operations might influence software compositions and dependencies.
- Compliance Confidence: Ensure that every piece of AI-generated code remains compliant, especially when multiple Open Source licenses are involved.
By decorating existing SBOMs, SCANOSS provides an enriched understanding, paving the way for more informed decision-making, better compliance tracking, and a clearer grasp of your AI software's composition.
AI-generated code is becoming more pervasive, and the risk of accidentally ingesting fragments of third party code is real. Our language-agnostic platform offers a robust solution for detecting Open Source in AI-generated code across multiple languages:
- Identification of Open Source components, files, or snippets
- Alert mechanisms for potential compliance or security risks
- Flagging of code that may have export or license implications
We use our vast database of over 202 million indexed URLs to offer unparalleled accuracy in detecting Open Source in AI-generated code. Regardless of the programming language, our engine can identify, flag, and help you manage detected Open Source efficiently.
SCANOSS offers a range of options to fit seamlessly into your development environment and workflows. Whether you prefer API, CLI, SDKs, IDEs, or webhooks, we offer full pipeline integration to make staying in control of AI-generated code compliance a natural extension of your workflow.
SCANOSS is designed to detect open source in AI-generated code in any programming language, ensuring you're not bound by language limitations.
Make sure your enforcing tool has the same visibility as the Open Source community.
With SCANOSS, you get complete transparency—no secret algorithms or concealed data handling procedures.
Stay ahead of the curve by leveraging our vast database to manage the growing presence of open source in AI-generated code.
Easy to Integrate
From CLI to webhooks, choose the integration method that aligns best with your existing workflows.
Open Source Flexibility
Customize our platform to suit your specific AI code management needs, thanks to our Open Source nature.
To learn more about how you can customize SCANOSS for your AI code management needs, check out our documentation or get in touch with us directly.
Stay proactive in the rapidly evolving world of Open Source in AI-generated code with SCANOSS, a transparent, adaptable, and comprehensive solution irrespective of your programming language.