Next Generation Intelligent Cloud Framework for Secure Digital Banking Healthcare and Government Infrastructure
DOI:
https://doi.org/10.15680/IJCTECE.2025.0804014Keywords:
Intelligent Cloud Framework, Secure Cloud Computing, Digital Banking, Healthcare IT, Government Infrastructure, AI-Driven Security, Predictive Threat Detection, Cloud Resource Optimization, Regulatory Compliance, CybersecurityAbstract
The rapid digital transformation in banking, healthcare, and government sectors has accelerated the adoption of cloud computing to support scalable, flexible, and resilient services. However, these infrastructures are increasingly exposed to cyber threats, regulatory compliance challenges, and complex operational demands. This research proposes a next-generation intelligent cloud framework designed to provide secure, efficient, and reliable services for digital banking, healthcare, and government infrastructures. The framework integrates artificial intelligence (AI), machine learning (ML), and advanced security mechanisms to enable predictive threat detection, dynamic resource management, and adaptive risk mitigation. Core components include AI-driven anomaly detection, multi-layer encryption, identity and access management, and real-time monitoring. The proposed framework is evaluated using simulated digital banking, healthcare, and government datasets, demonstrating improvements in security, service availability, and operational efficiency compared to traditional cloud architectures. Experimental results indicate a reduction in potential security breaches, enhanced compliance with regulatory standards such as GDPR, HIPAA, and PCI DSS, and optimized resource utilization. This research provides a comprehensive blueprint for deploying intelligent, secure, and resilient cloud systems capable of supporting mission-critical digital services in highly regulated environments.
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