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Enabling Explainable Artificial Intelligence in Sovereign Cloud Environments for Trusted Enterprise Governance

Dr. Ravie Chandren Muniyandi

Associate Professor, Department of Computing (CCI), College of Computing and Informatics, Universiti Tenaga Nasional, Malaysia

Md Mokhlesur Rahman

Research Center for Cyber Security, Universiti Kebangsaan, Malaysia

Abstract

The increasing adoption of Artificial Intelligence (AI) and sovereign cloud computing has transformed enterprise digital ecosystems by enabling secure, compliant, and intelligent data processing while maintaining national data sovereignty requirements. However, the complexity of modern AI models often limits transparency, accountability, and trust in enterprise decision-making, particularly in highly regulated industries such as healthcare, finance, government, and critical infrastructure. This research proposes an Explainable Artificial Intelligence (XAI)-enabled sovereign cloud framework that enhances trusted enterprise governance through transparent AI decision-making, privacy-preserving analytics, and secure cloud-native infrastructure. The proposed framework integrates explainable machine learning models, cloud-native governance services, Zero Trust Security, data sovereignty policies, and intelligent compliance monitoring to ensure that AI-driven decisions remain interpretable, auditable, and regulatory compliant. Explainability techniques such as SHAP, LIME, counterfactual explanations, feature attribution, and rule-based interpretation provide human-understandable insights into AI predictions while strengthening stakeholder confidence. Sovereign cloud platforms ensure secure data residency, regulatory enforcement, identity governance, encryption, and workload isolation across distributed enterprise environments. The framework further incorporates intelligent automation, continuous monitoring, policy orchestration, and predictive analytics to improve operational efficiency and governance maturity. By integrating Explainable AI with sovereign cloud computing, organizations can enhance transparency, accountability, cyber resilience, and ethical AI adoption while supporting trusted digital transformation and sustainable enterprise governance.

Article Information

Journal

International Journal of Advanced Engineering Science and Information Technology (IJAESIT)

Volume (Issue)

Vol. 9 No. 4 (2026): International Journal of Advanced Engineering Science and Information Technology (IJAESIT)

DOI

https://doi.org/10.15662/IJAESIT.2026.0904004

Pages

1278-1287

Published

July 19, 2026
Copyright

Open Access

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Dr. Ravie Chandren Muniyandi, Md Mokhlesur Rahman (2026). Enabling Explainable Artificial Intelligence in Sovereign Cloud Environments for Trusted Enterprise Governance. International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , Vol. 9 No. 4 (2026): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , pp. 1278-1287. https://doi.org/10.15662/IJAESIT.2026.0904004

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