Abstract

The convergence of artificial intelligence (AI), cloud computing, advanced cybersecurity mechanisms, and high-speed broadband including 5G connectivity has ushered in a new era of intelligent digital services. This research proposes a comprehensive cloud-centric framework that leverages deep learning and machine learning to enhance cybersecurity, financial fraud analytics, and medical image processing. The framework integrates real-time AI-driven threat detection with scalable cloud resources, enabling robust defense against cyber attacks, timely detection of anomalous financial transactions, and accurate interpretation of complex medical images such as CT scans and MRI data. By harnessing the ultra-low latency and high throughput of high-speed broadband and 5G, the system ensures swift data transfer, seamless scalability, and efficient deployment of web applications to end users. Key contributions include unified AI models for correlated threat and anomaly detection, secure cloud deployment strategies, and optimized data flow management for mobile and IoT devices. Extensive evaluation through simulated and real-world datasets demonstrates marked improvements in fraud detection rates and diagnostic accuracy while maintaining strong security and compliance. This research underscores the transformative potential of AI-empowered cloud systems in delivering secure, reliable, and high-performance digital services across finance and healthcare