Policy framework for Cloud Computing: AI, governance, compliance and management

The rapid evolution of cloud computing has transformed data management, operational efficiency, and artificial intelligence (AI) capabilities across industries. However, this advancement presents new challenges in governance, compliance, and management, necessitating a comprehensive policy framework to ensure secure, ethical, and effective cloud usage. This review examines a robust policy framework designed to address these challenges, focusing on the integration of AI, governance practices, regulatory compliance, and cloud management. The framework outlines specific policies for AI, emphasizing ethical considerations, accountability, and transparency, alongside mechanisms for privacy and bias mitigation to foster responsible AI deployment in cloud environments. Governance policies are structured to establish clear data stewardship, risk management, and continuous monitoring protocols, ensuring that cloud resources align with organizational and regulatory standards. Moreover, compliance is addressed through adherence to global standards such as GDPR and HIPAA, with an emphasis on data sovereignty, auditability, and vendor accountability to maintain regulatory alignment across jurisdictions. Management policies within the framework focus on optimizing resource allocation, enforcing Service Level Agreements (SLAs), and developing disaster recovery and business continuity strategies. These management policies aim to balance cost-efficiency with performance reliability. Recognizing the complexities of multi-cloud and hybrid environments, the framework proposes adaptable guidelines that accommodate rapid technological shifts and address security and privacy risks inherent in cloud computing. Through case studies and best practices, this framework offers actionable insights for organizations seeking to implement secure, compliant, and efficient cloud systems. In exploring the future landscape, the review anticipates emerging regulations and underscores the importance of industry-wide collaboration in refining cloud policies. This policy framework provides a foundation for organizations to harness the full potential of cloud computing while upholding standards in AI ethics, data governance, and regulatory compliance.

Authors

Publication Details

Journal
Global Journal of Engineering and Technology Advances
Published
2024-11-29
DOI
https://doi.org/10.30574/gjeta.2024.21.2.0212
Citations
10
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
7.79
Controls
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Policy framework for Cloud Computing: AI, governance, compliance and management

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Global Journal of Engineering and Technology Advances
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Policy framework for Cloud Computing: AI, governance, compliance and management

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article en
10 citations

Abstract

The rapid evolution of cloud computing has transformed data management, operational efficiency, and artificial intelligence (AI) capabilities across industries. However, this advancement presents new challenges in governance, compliance, and management, necessitating a comprehensive policy framework to ensure secure, ethical, and effective cloud usage. This review examines a robust policy framework designed to address these challenges, focusing on the integration of AI, governance practices, regulatory compliance, and cloud management. The framework outlines specific policies for AI, emphasizing ethical considerations, accountability, and transparency, alongside mechanisms for privacy and bias mitigation to foster responsible AI deployment in cloud environments. Governance policies are structured to establish clear data stewardship, risk management, and continuous monitoring protocols, ensuring that cloud resources align with organizational and regulatory standards. Moreover, compliance is addressed through adherence to global standards such as GDPR and HIPAA, with an emphasis on data sovereignty, auditability, and vendor accountability to maintain regulatory alignment across jurisdictions. Management policies within the framework focus on optimizing resource allocation, enforcing Service Level Agreements (SLAs), and developing disaster recovery and business continuity strategies. These management policies aim to balance cost-efficiency with performance reliability. Recognizing the complexities of multi-cloud and hybrid environments, the framework proposes adaptable guidelines that accommodate rapid technological shifts and address security and privacy risks inherent in cloud computing. Through case studies and best practices, this framework offers actionable insights for organizations seeking to implement secure, compliant, and efficient cloud systems. In exploring the future landscape, the review anticipates emerging regulations and underscores the importance of industry-wide collaboration in refining cloud policies. This policy framework provides a foundation for organizations to harness the full potential of cloud computing while upholding standards in AI ethics, data governance, and regulatory compliance.

Global Journal of Engineering and Technology AdvancesVol. 21(2)
Climate action
Openalex Percentile: Top 3%
Blockchain Technology Applications and Security
7.79
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