Mutant-AI

Mutant-AI is an open-source Python library designed to fortify large language models (LLMs), RAG systems, and digital agents against diverse threats. Key capabilities include: • Automated threat simulation • Synthetic dataset generation • Behavioral model assessment • Prompt injection and jailbreak testing • Guardrail evaluation This library empowers developers to proactively identify and mitigate vulnerabilities by executing hypothesis-driven attacks. It moves beyond static prompt testing, creating behaviorally diverse evaluation datasets that reflect real-world user interactions and adversarial tactics. This approach helps ensure robustness and reliability across various operational scenarios. Mutant-AI facilitates comprehensive security and safety evaluations, uncovering potential weaknesses before deployment. It supports the rigorous testing of language understanding, response generation, and adherence to safety protocols. Teams can integrate this library into their development pipelines to continuously monitor and improve model performance under adversarial conditions. Ideal for engineers, security researchers, and developers focused on building secure and dependable language models and digital agents. It provides essential tools for stress testing, improving defensive measures, and verifying responsible model behavior in production environments.