A Cloud Security Hyper-Automation Model for Financial Markets and ERP Healthcare AI-Driven Anomaly Detection, Multivariate Risk Inference, and Continuous DevSecOps Assurance

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Published: 2022-09-05
DOI: https://doi.org/10.15662/IJRPETM.2022.0505004
Keywords:
Cloud Security, Hyper-Automation, AI-Driven Anomaly Detection, Multivariate Risk Inference, DevSecOps, Financial Markets, Healthcare ERP, Continuous Monitoring, Threat Detection, Risk Mitigation, Regulatory Compliance, Cloud-Native Architecture

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Jonas Kristoffer Björnsson Ekström
Cloud Security Engineer, Sweden

Abstract

The increasing digitization of financial markets and healthcare ERP systems exposes organizations to complex security threats and operational risks. This study proposes a Cloud Security Hyper-Automation Model designed to enhance threat detection, risk assessment, and compliance in real-time. Leveraging AI-driven anomaly detection, the model identifies deviations in transactional and operational data, enabling proactive intervention. Multivariate risk inference techniques are employed to quantify and prioritize threats across diverse financial and healthcare ERP datasets, ensuring a comprehensive risk management framework. Continuous DevSecOps assurance integrates security into the software development lifecycle, automating monitoring, vulnerability assessment, and remediation. The framework is scalable, cloud-native, and capable of handling high-velocity data streams while maintaining regulatory compliance. Experimental results demonstrate significant improvements in threat detection accuracy, operational resilience, and risk mitigation compared to traditional approaches. By combining AI, hyper-automation, and DevSecOps practices, this model provides organizations in finance and healthcare with a robust, adaptive, and continuous security strategy, minimizing financial losses and ensuring data integrity.

Article Details

Issue

Vol. 5 No. 5 (2022): The International Journal of Research Publications in Engineering, Technology and Management

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Articles

How to Cite

A Cloud Security Hyper-Automation Model for Financial Markets and ERP Healthcare AI-Driven Anomaly Detection, Multivariate Risk Inference, and Continuous DevSecOps Assurance. (2022). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 5(5), 7429-7436. https://doi.org/10.15662/IJRPETM.2022.0505004

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