FuzzyAI

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.