Real-Time AI-Based Threat Intelligence for Cloud Security Enhancement

Andrés, Pereira and Nikolai, Ivanov and Zhihao, Wang (2025) Real-Time AI-Based Threat Intelligence for Cloud Security Enhancement. Innovative: International Multi-disciplinary Journal of Applied Technology, 3 (3). pp. 36-54. ISSN 2995-486X

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Abstract

As cloud computing becomes the backbone of modern digital infrastructure, the escalating sophistication of cyber threats demands real-time, AI-driven security solutions. Traditional security frameworks struggle to keep pace with zero-day attacks, evolving malware, and complex multi-vector threats, necessitating a more intelligent and autonomous approach. This paper explores Real-Time AI-Based Threat Intelligence as a transformative solution for cloud security enhancement, leveraging machine learning, deep learning, and behavioral analytics to detect, analyze, and mitigate threats proactively.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	10 Mar 2025 11:24
Last Modified:	10 Mar 2025 11:24
URI:	http://eprints.umsida.ac.id/id/eprint/15810

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