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
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
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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