SyzAgent integrates Large Language Models with the Syzkaller kernel fuzzer to intelligently guide security testing of operating system kernels in real-time.

• Addresses challenges of frequent OS updates and kernel complexity
• Uses LLMs to guide mutation and generation of test cases
• Targets specific kernel areas for more efficient vulnerability discovery
• Provides a framework for AI-enhanced security testing of critical infrastructure

This research represents a significant advancement in kernel security testing by leveraging AI capabilities to detect vulnerabilities in operating systems more effectively, protecting the critical infrastructure that powers our digital world.

Towards Large Language Model Guided Kernel Direct Fuzzing