Codeleaks
Overview
Codeleaks detects AI-generated and plagiarized source code to help developers, educators, and IP teams identify origins and potential license conflicts. It tokenizes code across multiple languages and highlights matching snippets. The service provides continuous monitoring and alerts for suspected leaks or unauthorized reuse.
Use cases
- Verify originality of student submissions and coding assignments.
- Scan internal repositories for leaked or copied proprietary code.
- Review pull requests for AI-generated or duplicated snippets.
- Automate license compliance checks for third-party code.
How it helps
- Reduce time spent investigating suspected code reuse with prioritized matches.
- Improve codebase integrity by identifying copied or AI-written fragments.
- Lower legal and licensing risk through proactive alerts and provenance clues.
- Streamline review workflows with integrations for automated scanning and reporting.
Key features
- Fast detection of copied or AI-generated code to speed investigations.
- Token-level analysis for accurate matches across languages.
- Enhance Cybersecurity by flagging potentially risky or propagated code.
- Continuous monitoring and immediate alerts to limit exposure.
- API and LMS integrations for automated scans and reporting.
Pricing
Paid plans are available. Check the official site for current details.
Why to choose Codeleaks?
Codeleaks combines token-level code analysis with continuous monitoring and license alerts to reduce copyright and licensing exposure.
