AI-Enabled SAP Cloud Architecture for Real-Time Fraud Detection and Cyber Attack Defense in Finance and Healthcare
DOI:
https://doi.org/10.15662/IJARCST.2024.0706028Keywords:
Artificial Intelligence, SAP Cloud Architecture, Fraud Detection, Cyber Defense, Financial Systems, Healthcare Analytics, Cloud SecurityAbstract
The rapid digital transformation of financial and healthcare sectors has led to massive volumes of sensitive data being processed across cloud platforms, increasing exposure to fraud and cyber threats. This paper proposes an AI-driven intelligent SAP cloud architecture designed to enhance fraud detection and cyber defense in finance and healthcare environments. The proposed framework integrates SAP Business Technology Platform (BTP) with advanced artificial intelligence techniques, including machine learning and deep learning models, to enable real-time anomaly detection, predictive threat analysis, and automated response mechanisms. By leveraging cloud-native data services, secure data pipelines, and scalable analytics, the architecture supports high-throughput processing of structured and unstructured data while ensuring data privacy, compliance, and system resilience. The solution demonstrates how AI-enabled intelligence within SAP cloud ecosystems can improve detection accuracy, reduce false positives, and strengthen cyber defense capabilities across heterogeneous data sources. This work highlights the potential of intelligent SAP cloud architectures to provide robust, scalable, and secure solutions for safeguarding critical financial and healthcare information systems.
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