AI-Driven Cloud Intelligence for Credit Card Fraud Detection: Azure DevOps CI/CD with GRA Models, Cybersecurity, Healthcare ERP, and Flash Storage Integration

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Published: 2024-08-01
DOI: https://doi.org/10.15662/IJRPETM.2024.0704003
Keywords:
AI cloud intelligence, Azure DevOps, CI/CD, Grey Relational Analysis, Credit card fraud detection, Cybersecurity, Healthcare ERP, MLOps, Flash Storage, Anomaly detection, Secure cloud analytics, Distributed systems

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Christian Leopold Eisenhauer
Cloud DevOps Engineer, Germany

Abstract

This study presents an AI-driven cloud intelligence framework for credit card fraud detection that integrates Azure DevOps–enabled CI/CD pipelines with Grey Relational Analysis (GRA) models, enterprise cybersecurity controls, healthcare ERP data flows, and Flash Storage optimization. The architecture leverages automated MLOps processes—version control, continuous training, containerized deployment, and real-time monitoring—to ensure rapid, reliable delivery of fraud-detection models across distributed cloud environments. GRA is employed to identify subtle relational patterns among transactional, behavioral, and contextual variables, improving early detection of anomalous financial activities. Embedded cybersecurity mechanisms, including identity governance, encrypted data pipelines, zero-trust access policies, and adaptive threat detection, safeguard sensitive financial and healthcare ERP data. Flash Storage integration accelerates high-volume data ingestion and model inference, reducing latency and enhancing system responsiveness under peak workloads. Experimental results demonstrate improved fraud-detection accuracy, lower false-positive rates, and greater operational efficiency, supporting secure, scalable, and intelligent fraud-analytics deployment in regulated healthcare and financial ecosystems.

Article Details

Issue

Vol. 7 No. 4 (2024): International Journal of Research Publications in Engineering, Technology and Management

Section

Articles

How to Cite

AI-Driven Cloud Intelligence for Credit Card Fraud Detection: Azure DevOps CI/CD with GRA Models, Cybersecurity, Healthcare ERP, and Flash Storage Integration. (2024). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 7(4), 10837-10843. https://doi.org/10.15662/IJRPETM.2024.0704003

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