Abstract

The integration of Artificial Intelligence (AI) with cloud computing has revolutionized digital infrastructures across multiple sectors, particularly in finance and healthcare. This paper explores AI-based cloud architectures that support secure financial systems and healthcare image analytics over broadband and 5G networks. AI enables advanced threat detection, fraud prevention, and real-time decision-making in financial systems by leveraging cloud-based data storage and computing capabilities. In healthcare, AI-driven image analytics facilitate faster and more accurate diagnosis through cloud-enabled processing of large medical datasets, including MRI, CT scans, and X-ray images. Broadband and 5G networks provide the high-speed connectivity required for seamless data transfer and low-latency processing, enabling remote diagnostics and telemedicine applications. However, the convergence of AI, cloud, and high-speed networks introduces new security challenges, such as data breaches, privacy violations, and adversarial attacks. This paper presents a comprehensive architecture model that integrates secure AI frameworks with cloud platforms and network technologies, ensuring data integrity, confidentiality, and compliance with regulatory standards. The proposed approach demonstrates the potential to improve system performance, reliability, and scalability while maintaining strong security and privacy safeguards.