#Network Security

ChatAFL employs Large Language Models to advance protocol fuzzing by improving mutation processes, diversity, and overcoming coverage challenges. Integrated with AFLNet and ProfuzzBench, ChatAFL offers a comprehensive framework for evaluating network protocols, promoting advancements in cybersecurity research and applications. It facilitates faster fuzzing operations, enhanced code coverage, and seamless Docker environment customization.

AutoAudit, an open-source language model, enhances network security by offering tools for analyzing malicious code, detecting attacks, and predicting vulnerabilities. It supports security professionals with accurate, fast analysis and is integrated with ClamAV for seamless scanning operations. Future updates target improved reasoning, accuracy, and expanded tool integration.