Cybersecurity Task

Cybersecurity tasks are increasingly leveraging large language models (LLMs) and other machine learning techniques to automate vulnerability detection, penetration testing, and threat analysis. Current research focuses on developing and evaluating LLMs for these tasks, using benchmarks based on Capture the Flag (CTF) challenges and real-world datasets, and exploring various model architectures including transformers and graph neural networks (GNNs). This work aims to improve the accuracy, explainability, and efficiency of AI-driven cybersecurity solutions, ultimately enhancing the ability to manage and mitigate cyber threats.