A Systematic Review of Artificial Intelligence, Cloud and Security Technologies
Faculty of Science, department of computer science Somali National university.
Review
Open Access Research Journal of Multidisciplinary Studies, 2026, 11(01), 014-025.
Article DOI: 10.53022/oarjms.2026.11.1.0015
Publication history:
Received on 20 December 2025; revised on 25 January 2026; accepted on 28 January 2026
Abstract:
The widespread use of the cloud computing and artificial intelligence has changed the contemporary digital infrastructures and exposed them to the complex cyber security threats at the same time. The review is the synthesis of the recent studies on artificial intelligence, cloud computing, and security technologies, in particular, the use of AI-based mechanisms in protecting the cloud infrastructure. The review examines articles published in the year 2025-2026 that reflect AI techniques in cloud settings, developing cloud architectures, and security issues and intelligent defense systems. The results denote that the machine learning and deep learning models have a profound impact on the performance of cloud through predictive analytics, resource optimization, and real-time threat detection. The use of advanced security mechanisms, such as Zero Trust models, closed-loop defense mechanisms, multimodal telemetry fusion, and AI-integrated cryptographic techniques, is always effective in dynamic and distributed cloud environments than the traditional perimeter-based models. Nonetheless, the issues concerning governance, standardization, explainability, and AI models protection remain. On the whole, the review demonstrates the obvious tendency towards adaptive and intelligent and integrated security models needed to develop resilient and trustful cloud ecosystems and outlines major trends in the future research and practice.
Keywords:
Artificial Intelligence; Cloud Computing; Cybersecurity; AI-Driven Security; Cloud Infrastructure
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Copyright © 2026 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0