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ai-security-testing

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PromptMe is an educational project that showcases security vulnerabilities in large language models (LLMs) and their web integrations. It includes 10 hands-on challenges inspired by the OWASP LLM Top 10, demonstrating how these vulnerabilities can be discovered and exploited in real-world scenarios.

  • Updated Sep 10, 2026
  • Python

AI security testing — find security vulnerabilities in LLM apps, chatbots, AI agents, MCP servers, and RAG systems. Mapped to OWASP (LLM, Agentic, MCP) and NIST AI RMF.

  • Updated Sep 2, 2026
  • Rust

End-to-end Al/LLM security, safety and penetration testing framework for prompt injection, jailbreaks, RAG security, agentic attacks, red teaming, and monitoring.

  • Updated Sep 26, 2026
  • Python

Secure your code in seconds. VibeSafe is an AI-native DevSecOps CLI tool that detects vulnerabilities, secrets, insecure configs, and hallucinated dependencies before they ship.

  • Updated May 17, 2025
  • TypeScript
MonkeyITM-VM

Broker-in-the-middle containment for AI agents. The agent has no ambient authority; the broker holds every key, decides every action, and logs every intent.

  • Updated Sep 28, 2026
  • Rust

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