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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. observed · 2026-08-28

github.com/cyberark/FuzzyAI · Jupyter Notebook · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

51/100

  • Activity 66
  • Release rhythm 35
  • Longevity 45

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 638
  • days_rel: n/a
  • days_push: 208
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1568 stars · 215 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

FuzzyAI is an automated LLM fuzzing tool from CyberArk that tests LLM APIs for jailbreak vulnerabilities. It ships as a Python CLI with a web UI, notebooks, and datasets to help developers and security researchers identify and mitigate jailbreaks.

Use cases

  • fuzz my LLM API for jailbreak vulnerabilities
  • red team an LLM application before deployment
  • test whether a chatbot can be prompt-injected
  • evaluate LLM safety against known jailbreak techniques
  • run automated adversarial prompts against a local ollama model
  • audit LLM endpoints for security weaknesses

When to choose

  • you expose an LLM API and need automated jailbreak testing
  • you are doing AI red-teaming or security research on LLMs
  • you want a CLI tool with existing jailbreak attack datasets and techniques

When to avoid

  • you need general-purpose application fuzzing of non-LLM software
  • you want a managed SaaS LLM evaluation platform rather than a self-run tool
  • you need formal safety certification or compliance reporting

Facets

cli-tool · maturity active

fuzzing security llm-inference testing penetration-testing security large-language-models artificial-intelligence developer-tools python cli cross-platform llm-security jailbreak red-team ai-safety llm-evaluation prompt-injection

1 source

Member repositories

RepositoryRoleHealth v2
cyberark/FuzzyAImain51

For agents

markdown · JSON · MCP: product_card(name="cyberark/FuzzyAI")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem