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cyberark/FuzzyAI

⭐ 1582 Jupyter Notebook repository created 2024-12-03

FuzzyAI is a specialized LLM security tool focused on automated fuzzing to uncover jailbreaks and security vulnerabilities within large language model APIs. It enables developers and security researchers to proactively test their LLM implementations against various attack vectors. The tool supports comprehensive fuzzing techniques, including mutation-based, generation-based, and intelligent fuzzing, and offers built-in input generation capabilities for exhaustive testing. Its architecture is designed for seamless integration into existing development and testing workflows, while also being extensible to meet unique security requirements. FuzzyAI provides support for a wide range of LLMs across major providers such as Anthropic, OpenAI, Gemini, Azure, Bedrock, AI21, DeepSeek, and Ollama, with mechanisms to easily add support for newer models. The project includes interactive Jupyter notebooks and datasets to aid in testing and provides examples for attacking both prompts and custom REST APIs, detailing argument breakdowns and key features. FuzzyAI is crucial for ensuring the robustness and safety of LLM applications by identifying and addressing potential security flaws related to prompt injection and adversarial attacks.

https://github.com/cyberark/FuzzyAI

aiai-red-teamfuzzingjailbreakjailbreakingllmllm-evaluationllm-securityllmssecurityllm-testingAI-safety

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