FuzzyAI: A Powerful Tool for Automated LLM Fuzzing
FuzzyAI is designed to help developers and security researchers identify and mitigate potential jailbreaks in their LLM APIs. This tool offers a comprehensive suite of features for effective fuzz testing, ensuring that your applications are secure against various vulnerabilities.
Key Features:
- Automated Fuzzing: Streamline the process of testing LLM APIs with automated fuzzing techniques.
- Support for Multiple Models: Easily integrate and test various models from top providers like OpenAI, Anthropic, and more.
- Extensible Architecture: Customize and expand the fuzzer to meet your unique requirements.
- Built-in Input Generation: Generate valid and invalid inputs for exhaustive testing.
- Web UI: An experimental web interface for easier interaction and visualization of results.
Benefits:
- Identify Vulnerabilities: Proactively find and address potential security issues in your LLM APIs.
- Seamless Integration: Incorporate FuzzyAI into your existing development and testing workflows effortlessly.
- Community Contributions: Join a growing community of developers and researchers contributing to the tool's evolution.
Highlights:
- Supports various attack methods including ManyShot, Taxonomy, and ArtPrompt attacks.
- Interactive Jupyter notebooks and datasets for enhanced testing capabilities.
- Comprehensive documentation and resources available for users.
FuzzyAI is released under the Apache License, making it a reliable choice for open-source projects.
