Corgea ensures the security and effectiveness of the repair code through a threefold mechanism:
- Training data: AI models are trained based on massive open source security patches and enterprise-grade codebases, covering standard vulnerability patterns such as OWASP Top 10.
- verification process: The generated repair code is validated as follows:
- Syntax compatibility check (to ensure match with project environment)
- Unit test validation (automated running of relevant test cases)
- Secondary Scan Confirmation (rescan for vulnerabilities after fixing)
- Manual review: All fixes are submitted as Pull Requests and developers are required to complete code review and testing in GitHub.
The platform will also continue to learn from user feedback and model optimization of mislabeled fixes.
This answer comes from the articleCorgea: an AI security platform that automatically fixes code vulnerabilitiesThe
May not be reproduced without permission:AI productivity tools " How does Corgea's AI repair feature secure the generated code?
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