Secure Artificial Intelligence Powered Cloud Computing Model for Enterprise Cyber Intelligence and Digital Transformation
DOI:
https://doi.org/10.64235/v3m1f266Keywords:
Artificial Intelligence, Cloud Computing, Enterprise Analytics, Digital Transformation, Cybersecurity, Intelligent Systems, Data Privacy, Machine Learning, Zero Trust Security, Cloud Security, Predictive Analytics, Digital InnovationAbstract
The rapid evolution of artificial intelligence (AI) and cloud computing has transformed enterprise operations by enabling intelligent analytics, process automation, and data-driven decision-making. However, the increasing dependence on cloud-based AI platforms introduces significant security, privacy, and governance challenges that can affect organizational trust and operational continuity. This study proposes a secure artificial intelligence-powered cloud computing model designed to support intelligent enterprise analytics and accelerate digital transformation while ensuring confidentiality, integrity, availability, and regulatory compliance. The proposed model integrates cloud infrastructure, AI-driven analytics, encryption mechanisms, identity and access management, zero-trust security principles, continuous monitoring, and governance frameworks into a unified architecture. The research adopts a qualitative and conceptual methodology supported by an extensive review of existing literature to examine current developments, identify security gaps, and formulate an integrated framework for secure AI-enabled cloud environments. The findings indicate that organizations adopting secure AI-cloud ecosystems can improve operational efficiency, enhance predictive analytics, strengthen cybersecurity resilience, and optimize strategic decision-making while minimizing risks associated with cyber threats and data breaches. The study concludes that combining AI intelligence with secure cloud technologies creates a sustainable foundation for enterprise innovation, business agility, and digital transformation in increasingly competitive and data-intensive environments.
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