Raghad Ghawa, Jawaher Alamri, and Rawan Eid Alanazi, College of Computer and Information Sciences, Saudi Arabia

Cyber Threat Intelligence (CTI) is gaining importance due to the rise in cyber attacks and crimes. It aims to increase administrators understanding of events and threats by gathering intelligence about criminal operations. However, there is a lack of literature on how AI algorithms can improve CTI automation. This research aims to understand CTI's importance and automate the CTI process, prioritizing important threats and providing recommendations for mitigation. The study reviews literature on AI algorithms with CTI to identify the best models and algorithms for improving automation. It also helps organizations understand and analyze data to reveal trends and patterns, providing in-depth understanding of threats. This research is suitable for entities with large datasets of intelligent information and sensitive data types.

Artificial Intelligence Algorithms, Cyber-Threat Intelligence Machine Learning Model and Deep Learning Model.