New open-source framework applies Metasploit's penetration testing methodology to AI/ML model security vulnerabilities

MetaLLM is a security testing framework designed specifically for AI and machine learning systems, inspired by Metasploit's modular approach to penetration testing

The project is available on GitHub at scthornton/MetaLLM, enabling security researchers to systematically test LLM vulnerabilities

The framework brings established cybersecurity testing practices into the AI/ML domain to identify and exploit potential weaknesses in language models