Secure AI-Driven Cloud Framework for SAP-Based Healthcare Business Processes and Big Data Analytics
DOI:
https://doi.org/10.15680/4hatx344Keywords:
Secure Cloud Computing, Artificial Intelligence, SAP Healthcare Systems, Big Data Analytics, Data Governance, Cloud Security, Business Process AutomationAbstract
The rapid adoption of cloud technologies in healthcare enterprises has accelerated the migration of SAP-based business processes and large-scale data analytics to distributed cloud environments. However, this transformation introduces critical challenges related to data security, regulatory compliance, system scalability, and intelligent threat detection. This paper proposes a Secure AI-Driven Cloud Framework designed to support SAP-based healthcare business processes while enabling robust big data analytics. The framework integrates AI-powered security mechanisms, including anomaly detection and intelligent access control, with governed cloud data platforms to ensure data integrity, confidentiality, and availability. Secure APIs and network-aware cloud orchestration enable seamless interoperability across SAP systems, healthcare applications, and analytics pipelines. The proposed architecture supports real-time data processing, policy-driven governance, and compliance with healthcare regulations such as HIPAA-aligned security principles. Experimental evaluation and architectural analysis demonstrate improved threat detection accuracy, scalable data processing, and reduced operational risk. The framework provides a resilient foundation for secure digital transformation in healthcare enterprises leveraging SAP and cloud-native analytics platforms.
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