Adaptive Cloud Enabled Digital Infrastructure Frameworks for AI Driven Governance and Secure Computing

Main Article Content

Arlindo Oliveira

Abstract

Adaptive cloud-enabled digital infrastructure frameworks have become a fundamental component of modern enterprise transformation, enabling intelligent governance, secure computing, and scalable digital operations. The integration of artificial intelligence, cloud computing, cybersecurity mechanisms, and automation technologies has significantly improved organizational agility, operational efficiency, and decision-making capabilities. This study explores the development and implementation of adaptive cloud infrastructures designed to support AI-driven governance models and secure enterprise computing environments. The research focuses on how cloud-enabled systems integrate machine learning algorithms, intelligent orchestration, predictive analytics, and automated security controls to manage enterprise operations dynamically. The study also examines the role of hybrid cloud architectures, distributed computing, edge computing, and data governance frameworks in ensuring scalability, reliability, and regulatory compliance. A comprehensive literature review highlights recent advancements in AI-powered cloud ecosystems, digital governance models, cybersecurity strategies, and automation frameworks. The proposed research methodology introduces a multi-layered adaptive infrastructure framework integrating analytics, governance, automation, and security services within a unified intelligent ecosystem. The findings indicate that adaptive cloud-enabled infrastructures significantly enhance operational resilience, intelligent decision-making, cybersecurity protection, and resource optimization. However, challenges related to data privacy, interoperability, ethical AI governance, and infrastructure complexity continue to influence enterprise adoption and management strategies.

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How to Cite

Adaptive Cloud Enabled Digital Infrastructure Frameworks for AI Driven Governance and Secure Computing. (2024). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 7(5), 11297-11310. https://doi.org/10.15662/IJRPETM.2024.0705017

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