Cybersecurity Domain

Cybersecurity research focuses on developing automated methods to detect, analyze, and respond to cyber threats, primarily leveraging advancements in machine learning and natural language processing. Current efforts concentrate on applying large language models (LLMs), recurrent neural networks (RNNs, such as LSTMs), and graph neural networks (GNNs) to tasks like threat intelligence summarization, vulnerability detection, and attack pattern recognition, often enhanced by techniques like transfer learning and prompt engineering. These advancements are crucial for improving the efficiency and effectiveness of cybersecurity defenses, enabling faster threat detection and response, and ultimately enhancing overall system resilience.