Home
World Journal of Advanced Research and Reviews
International Journal with High Impact Factor for fast publication of Research and Review articles

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Reviewer Panel
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

A governance framework model for cloud computing: role of AI, security, compliance, and management

Breadcrumb

  • Home
  • A governance framework model for cloud computing: role of AI, security, compliance, and management

Adebola Folorunso 1, *, Adeola Adewa 2, Olufunbi Babalola 3 and Chineme Edger Nwatu 4

1 School of Business, Technology and Health Care Administration Capella University, Minneapolis, MN, USA 55402.
2 McClure School of Emerging Communication Technologies Scripps College of Communications Ohio University Athens, USA.
3 Carnegie Mellon University, 5000 Forbes Avenue Pittsburgh, PA 15213, USA.
4 Western Illinois University School of Computer Sciences Stripes Hall 44, 1 University, Circle Macomb IL 61455-1390 USA.
 
Review Article
World Journal of Advanced Research and Reviews, 2024, 24(02), 1969-1982
Article DOI: 10.30574/wjarr.2024.24.2.3513
DOI url: https://doi.org/10.30574/wjarr.2024.24.2.3513
 
Received on 07 October 2024; revised on 17 November 2024; accepted on 20 November 2024
 
The rapid adoption of cloud computing has transformed how organizations manage their IT resources, necessitating robust governance frameworks to address the complexities and risks inherent in cloud environments. This review proposes a comprehensive governance framework model that integrates the roles of artificial intelligence (AI), security, compliance, and management to enhance the effectiveness of cloud operations.  AI plays a critical role in optimizing resource allocation and improving decision-making processes within cloud governance. By leveraging machine learning algorithms, organizations can achieve dynamic resource management, predictive analytics, and automated compliance monitoring, which enhance operational efficiency and reduce human error. Furthermore, the integration of AI in security management facilitates real-time threat detection and response, allowing organizations to proactively mitigate risks associated with data breaches and cyberattacks. Security is a paramount concern in cloud governance, given the shared responsibility model between cloud providers and clients. This framework emphasizes the implementation of comprehensive security measures, including data encryption, identity management, and incident response protocols, to safeguard sensitive information and maintain customer trust. Compliance with regulatory requirements is essential in ensuring organizational accountability and minimizing legal risks. The proposed governance model incorporates automated compliance checks and reporting mechanisms, ensuring adherence to industry-specific regulations such as GDPR and HIPAA. Moreover, effective management of cloud resources is crucial for optimizing performance and controlling costs. The governance framework outlines best practices for lifecycle management, cost optimization, and resource allocation, enabling organizations to achieve their strategic objectives. This governance framework model underscores the importance of integrating AI, security, compliance, and management for a holistic approach to cloud governance, providing organizations with the necessary tools to navigate the complexities of cloud computing while maximizing its benefits.
 
Cloud Computing; Artificial Intelligence; Security; Governance
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-3513.pdf

Preview Article PDF

Adebola Folorunso, Adeola Adewa, Olufunbi Babalola and Chineme Edger Nwatu. A governance framework model for cloud computing: role of AI, security, compliance, and management. World Journal of Advanced Research and Reviews, 2024, 24(2), 1969-1982. Article DOI: https://doi.org/10.30574/wjarr.2024.24.2.3513

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

Copyright © 2026 World Journal of Advanced Research and Reviews - All rights reserved

Developed & Designed by VS Infosolution