Privacy-Aware AI for Secure SAP-Centric Cloud and Network Systems in Healthcare and Digital Business Applications

Abstract

The increasing reliance on cloud computing, networked infrastructures, and artificial intelligence (AI) within SAP-centric enterprise environments has heightened concerns related to data privacy, cybersecurity, and regulatory compliance, particularly in healthcare and digital business applications. This paper presents a privacy-aware AI framework designed to secure SAP-based cloud and network systems while enabling intelligent automation and data-driven decision-making. The proposed approach integrates privacy-preserving machine learning techniques, including federated learning and differential privacy, with SAP security and risk management capabilities to protect sensitive enterprise and healthcare data. Network-level threat detection and continuous risk assessment are incorporated to address evolving cyber threats across distributed cloud environments. The framework supports secure business process execution and predictive analytics without compromising data confidentiality or system integrity. By aligning AI-driven intelligence with enterprise-grade SAP security controls, the proposed solution enhances trust, scalability, and resilience in healthcare and digital business ecosystems.