Cloud-Enabled AI Framework for Open Banking: SDN, SVM, and SAP-Based Data Intelligence
DOI:
https://doi.org/10.15680/IJCTECE.2025.0805008Keywords:
Cloud-Enabled AI Framework, Open Banking, Software-Defined Networking (SDN), Support Vector Machine (SVM), SAP Data Intelligence, Predictive Analytics, API Security, Financial Data GovernanceAbstract
The rapid evolution of financial technologies has driven the need for intelligent, secure, and scalable architectures in the Open Banking ecosystem. This paper presents a Cloud-Enabled AI Framework for Open Banking that integrates Software-Defined Networking (SDN), Support Vector Machine (SVM)-based analytics, and SAP-driven data intelligence to enhance decision-making, interoperability, and data governance. The proposed architecture leverages cloud-native infrastructure to ensure flexibility, scalability, and real-time data processing across distributed banking environments. SDN facilitates dynamic network management and security orchestration, while SVM algorithms provide predictive analytics for fraud detection, customer behavior modeling, and credit risk assessment. Additionally, SAP integration enables intelligent data management, ensuring transparency, compliance, and business process optimization. This unified framework supports secure API-based interactions among financial institutions, fintech partners, and end-users—promoting innovation, privacy preservation, and regulatory adherence. The results demonstrate improved system resilience, lower latency, and enhanced data-driven intelligence for next-generation Open Banking ecosystems.
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