AI-Enabled Secure Cloud and Network Transformation for SAP Migration and Regulated Healthcare Data

Abstract

The rapid adoption of cloud technologies in healthcare enterprises has intensified the need for secure, intelligent, and compliant digital transformation strategies, particularly for SAP system migration and regulated data exchange. Healthcare organizations must balance scalability and innovation with stringent security, privacy, and interoperability requirements. This paper proposes an AI-enabled secure cloud and network transformation framework that supports SAP migration while ensuring compliant healthcare data exchange across distributed environments. The framework integrates cloud-native architectures, AI-driven security analytics, and network governance mechanisms to enable proactive threat detection, automated risk assessment, and policy-based access control. By leveraging intelligent monitoring and predictive analytics, the proposed approach enhances migration reliability, optimizes network performance, and ensures adherence to healthcare regulations. The framework also facilitates seamless interoperability between SAP platforms and external healthcare systems through secure APIs and standardized data exchange models. Experimental analysis and architectural evaluation demonstrate improvements in security posture, operational efficiency, and regulatory compliance, making the proposed solution suitable for large-scale healthcare digital transformation initiatives.