Leverage Generative AI Code

Balancing Speed, Innovation and Business Risk
FossID’s industry-leading code snippet detection is built to help engineers stay productive without compromising compliance, security or intellectual property integrity.
Navigating the Legal Landscape of Open Source Code
The reliance on open source code for training these AI models introduces pressing concerns about license compliance and security. The potential for generative AI to inadvertently copy code verbatim from open source repositories makes accurate, reliable snippet scanning crucial for adhering to open source licenses and identifying any specific vulnerable code that might have been replicated.

Exploring Use Cases and Compliance Scenarios
- AI-Exclusive Code
When the AI generates completely original code, there are no open source license obligations, granting companies the liberty to use and distribute the code freely. - Hybrid Code
In instances where the output is a mix of AI-generated and open source code, it’s imperative to identify the open source components to comply with their respective licenses. - Pure Open Source Code
If the AI provides a snippet that’s entirely copied from an open source repository, it’s clear that companies must adhere to the specific open source license.
Ensuring Open Source License Adherence
For AI-generated code that incorporates open source snippets, it’s essential for companies to fulfill the associated license obligations. This includes pinpointing the open source code utilized, comprehending the license terms, and satisfying requirements such as attribution and source code distribution, while avoiding any compatibility issues with other code.
As generative AI continues to shape the future of software development, it’s crucial for companies to remain vigilant about open source license compliance and the security of their codebases.


Find Vulnerable Code Snippets
Key Capabilities
To successfully manage security and compliance risks associated with code created by Generative-AI coding assistance, look for the following capabilities.
Code Snippet Detection

Comprehensive OSS Database

CI/CD Integration
How FossID Code Snippet Detection Works
Scan Your Source Code or Repositories
Start by running a FossID scan on your local project directory, Git repo, or your build artifacts. This can be done via:
- Workbench UI: Upload your project manually
- CI/CD Integration: Automatically scan your code with each build (e.g., Jenkins, GitLab, GitHub Actions)
- API or CLI: For scripting or bulk operations
This scan compares your code against FossID’s curated knowledge base of 200M+ open source components, including code-level data and metadata.
Detect Reused and Modified Code Snippets
AI coding assistants often generate code without license headers or clear attribution. FossID doesn’t rely on that.
Instead, FossID uses code fingerprinting and deep snippet analysis, matching code fragments even when:
- Variable names are changed
- Comments are stripped
- Structure is modified
If you pasted a sorting function, regex pattern, or utility class suggested by your AI assistant, FossID can trace it back to known open-source origins.
Understand Licensing and Obligations
Once a snippet is flagged, FossID tells you:
- The original open source component and version
- The license (e.g., MIT, GPL, Apache 2.0)
- Whether there are copyleft or attribution requirements
- If the usage violates your own open source usage policies
This is critical if you’re working in proprietary, embedded, or dual-licensed environments where certain licenses may be problematic.
Act with Confidence
After detection, you have options:
Instead, FossID uses code fingerprinting and deep snippet analysis, matching code fragments even when:
- Replace the snippet with an alternative (i.e. internal code or a permissively licensed libraries)
- Document and attribute the open source use properly
- Refactor to remove risky fragments altogether
FossID Workbench also generate audit-ready Software Bill of Materials (SBOMs) and compliance reports to satisfy legal, security, and M&A requirements.

Ideal Integration Points
- During code reviews or PRs (pre-merge scanning)
- On every build in your CI pipeline
- Before release milestones
- During security/compliance sprints
Adopt AI Coding Assistants with Confidence
- Continue using AI coding tools productively
- Identify even the subtlest traces of open source code
- Make informed, compliant decisions quickly

Talk to a Software Supply Chain Ninja
Book a discovery call with one of our experts to discuss your business needs and how our tools and services can help.
