cyberark / FuzzyAI
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.
Why this job: topics: security, llm-security, jailbreak
What it does
- Comprehensive Fuzzing Techniques. Leverage mutation-based, generation-based, and intelligent fuzzing.
- Built-in Input Generation. Generate valid and invalid inputs for exhaustive testing.
- Seamless Integration. Easily incorporate into your development and testing workflows.
- Extensible Architecture. Customize and expand the fuzzer to meet your unique requirements.
Get started
# Use either pip or any other package manager
pip install git+https://github.com/cyberark/FuzzyAI.git - Maintenance
- Inactive
- Last commit 9 months ago
- Stars
- 1,605
- +4 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 85% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 84% closed
- 3 still open
- Pull requests
- 13 merged
- 3 waiting
- Releases
- None
- Never published
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| OWASP / www-project-top-10-for-large-language-model-applications | 1,488 | 3 months ago | Custom | No downloads |
More: languages, topics and project record
Languages
- Jupyter Notebook 85%
- Python 15%
- Shell <1%
Topics
- jailbreak
- jailbreaking
- llm
- llms
- ai
- security
- fuzzing
- llm-evaluation
- llm-security
- ai-red-team
Project record
- JobAI security
- StatusListed
- Commits206
- Forks221
- Watching21
- Stars in 28 days+22
- CreatedDec 3, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026