Cloud computing has proven to be a modern technical solution that provides a flexible and effective environment for data storage and processing. However, the rapid development of advanced cyber-attacks is an important threat to the protection of these systems, which reveals the immediate need for intelligent danger and prevention methods. The purpose of this research is to strengthen cloud safety by taking advantage of artificial intelligence techniques - especially deep learning and machine learning properly detect sophisticated cyber threats and analyze abnormal behavioral patterns. The suggested feature involves collecting and analyzing large data obtained from the cloud -event log, followed by classification and prophecy algorithm to identify suspicious activities in real time. Preliminary results suggest that the proposed model acquires high identification accuracy by reducing the false alarm, improving the general efficiency of cloud safety systems. These findings emphasize the important role of AI in developing a smart solution to shape modern cyber security strategies and to fight new dangers.
Mohammed Mahdı (2025) studied this question.