97%
of devs use AI, most don't know the source. [1]
45%
report higher productivity from AI coding tools. [2]
40%
of mid-career devs worry about AI code quality. [3]
Transparency Over Restriction
AI-generated code is becoming more pervasive, and the risk of accidentally ingesting fragments of third party code is real. Instead of banning AI tools, SCANOSS gives you the data to use them responsibly.
AIBOMs
Generate AI Bills of Materials to trace the origin of AI-generated code and support compliance reviews and disclosures.
Geo Provenance
Identify where code originated and who contributed it. Critical for export controls, data sovereignty, and due diligence.
Licence Clarity
Instantly uncover the licences behind every reused or AI-suggested component, helping teams avoid legal and operational risks.
Audit Trails
Maintain clear records of scanning and decisions, giving legal and regulatory teams the transparency they need.
SCANOSS is language-agnostic and offers a robust solution for detecting open source in AI-generated code. If you’re not checking, you’re exposed—to legal, security, and export control risks. And once it’s in your product, it’s your problem. SCANOSS reveals what AI hides.
How It Works
Developer uses AI for coding
Code is scanned by SCANOSS in the CI/CD
Whether you prefer API, CLI, SDKs, IDEs, or webhooks, SCANOSS offers full pipeline integration.
SCANOSS uses their own vast database of over 260 million indexed URLs to offer unparalleled accuracy.
SCANOSS matches snippets to known OSS components
Results
SCANOSS Software Intelligence
AI sped up their development. SCANOSS made it compliant.
A software team using GitHub Copilot wanted to accelerate delivery without introducing legal or licensing risk. By integrating SCANOSS, they traced AI-generated code back to its open source origins, flagged restrictive licences, and kept their pipeline open—without compromising compliance.
