# cyberark/FuzzyAI

<https://repo.masters-masters.com/en/repos/cyberark/FuzzyAI>

[Home](https://repo.masters-masters.com/en) › [cyberark](https://repo.masters-masters.com/en/owners/cyberark) › [FuzzyAI](https://repo.masters-masters.com/en/repos/cyberark/FuzzyAI)

cyberark/FuzzyAI has 1,597 stars on GitHub. Its RepoMasters card: Beta tier. A powerful tool for automated LLM fuzzing. It is designed to help developers and…

| Field | Value |
| --- | --- |
| Owner | [cyberark](https://repo.masters-masters.com/en/owners/cyberark) |
| Stars | 1,597 |
| Forks | 218 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2024 |
| Topics | jailbreak, jailbreaking, llm, llms, ai, security, fuzzing, llm-evaluation, llm-security, ai-red-team |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [cyberark/FuzzyAI](https://github.com/cyberark/FuzzyAI) |

## Repository

A powerful tool for automated LLM fuzzing. It is designed to help developers and security researchers identify and mitigate potential jailbreaks in their LLM APIs.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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