Capture the Flag

Capture-the-Flag (CTF) competitions, involving the discovery and exploitation of vulnerabilities, are increasingly used as benchmarks for evaluating large language models (LLMs) in cybersecurity. Research focuses on developing LLMs capable of autonomously solving CTF challenges, often incorporating novel agent-computer interfaces and tools to enhance their capabilities, as well as investigating the robustness of LLMs against adversarial attacks designed to extract sensitive information. These studies provide valuable insights into LLM limitations and potential for both offensive and defensive cybersecurity applications, contributing to the development of more secure and effective AI systems.