Cybersecurity Entity

Cybersecurity entity research focuses on automatically identifying and linking relevant entities (e.g., vulnerabilities, attackers, malware) within diverse cybersecurity data sources. Current efforts concentrate on developing and improving machine learning models, including graph neural networks and large language models, to perform tasks like named entity recognition and entity alignment across disparate datasets. This work is crucial for enhancing cyber threat intelligence, enabling more efficient threat assessment, and improving the accuracy and speed of AI-driven cybersecurity defenses. The resulting advancements will contribute to more robust and proactive cybersecurity systems.