Secure Cloud-Native AI Finance Architectures with SAP Integration for Real-Time Machine Learning Feature Engineering and Identity-Aware Access Control in Healthcare
DOI:
https://doi.org/10.15680/fnmftf90Keywords:
Cloud-Native AI Finance, SAP Integration, Healthcare Financial Systems, Real-Time Machine Learning, Feature Engineering, Identity-Aware Access Control, Zero Trust Security, Data Governance, Financial Analytics, Regulatory ComplianceAbstract
The convergence of cloud computing, artificial intelligence, and enterprise resource planning has transformed financial operations within healthcare organizations, enabling real-time analytics, intelligent automation, and data-driven decision-making. However, the integration of AI-powered finance platforms with SAP systems in cloud-native environments introduces significant challenges related to security, identity governance, data privacy, and regulatory compliance. This paper presents secure cloud-native AI finance architectures with SAP integration for real-time machine learning feature engineering and identity-aware access control in healthcare.The proposed architecture integrates SAP financial and operational data with cloud-native AI pipelines to support real-time feature engineering, model training, and inference for use cases such as revenue cycle optimization, fraud detection, and cost forecasting. Machine learning–driven feature stores and streaming analytics enable low-latency insights while maintaining data consistency and auditability. Security is enforced through identity-aware access control, zero-trust principles, and fine-grained authorization across SAP, cloud platforms, and AI services, ensuring that sensitive healthcare and financial data is accessed only by authorized users and systems.
By combining SAP integration, real-time machine learning, and robust identity and access management, the architecture delivers scalable, compliant, and resilient AI finance platforms tailored for healthcare environments. The proposed approach demonstrates how cloud-native security and AI capabilities can enhance financial transparency, operational efficiency, and cyber resilience in mission-critical healthcare systems.
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