GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
FuzzyAI is an automated tool from cyberark for detecting and mitigating jailbreaks in LLM APIs using fuzzing techniques.
Good fit when
- When you need to identify vulnerabilities specifically within the API layer of your large language models (LLMs).
- If your security strategy includes a proactive approach to catching potential exploits through automated testing.
Avoid when
- For general application or code-level vulnerability scanning, as it is specialized for LLM APIs.
- In scenarios where manual penetration testing of applications outside the scope of LLMs is required.
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Slowing (225d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/cyberark/FuzzyAISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
FuzzyAI, developed by cyberark, is crafted to aid in identifying vulnerabilities within LLM APIs through automated fuzzing techniques.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 20, 2026
- Languages
- jupyter notebook, python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
### Quick start #1 - Using an existing python projectSource link
Tags
README
Quick start 1 Using an existing python project 1. Install fuzzyai 2. Run the fuzzer Quick start 2 or as a standalone project 1. Clone the repository: 2. Install dependencies using Poetry: 3. Run the fuzzer: 4. Optional: Install ollama, and download a model for local usage: Altern...
For agents
This page has a .md twin and JSON over the API.