AI-Driven Secure SAP-Centric Cloud-Native Enterprise Architecture for Scalable Data Analytics and Cyber-Resilient Digital Ecosystems

JR Thompson; JR Thompson

doi:10.15662/IJSRAT.2023.0604004

AI-Driven Secure SAP-Centric Cloud-Native Enterprise Architecture for Scalable Data Analytics and Cyber-Resilient Digital Ecosystems

JR Thompson

Abstract

Modern enterprises increasingly rely on cloud-native platforms to manage large-scale business processes and data-driven decision-making. As organizations adopt SAP-centric ecosystems integrated with advanced analytics and artificial intelligence (AI), ensuring security, scalability, and resilience becomes critical. This paper proposes an AI-driven secure enterprise architecture designed for SAP-centric cloud-native environments that enables scalable data analytics while strengthening cyber resilience. The proposed architecture integrates identity-aware access control, AI-powered threat detection, automated governance, and cloud-native microservices to support secure digital transformation. Experimental analysis using simulated enterprise workloads demonstrates improved system scalability, faster anomaly detection, and enhanced security posture compared with traditional centralized enterprise architectures. The results indicate that the proposed framework significantly reduces incident response time and improves infrastructure reliability, making it suitable for modern digital ecosystems that demand both operational efficiency and robust cybersecurity mechanisms.

Article Information

Journal	International Journal of Science, Research and Technology
Volume (Issue)	Vol. 6 No. 4 (2023): International Journal of Science, Research and Technology (IJSRAT)
DOI	https://doi.org/10.15662/IJSRAT.2023.0604004
Pages	10305-10312
Published	August 17, 2023
Copyright	All rights reserved
Open Access	This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite	JR Thompson (%2023). AI-Driven Secure SAP-Centric Cloud-Native Enterprise Architecture for Scalable Data Analytics and Cyber-Resilient Digital Ecosystems. International Journal of Science, Research and Technology , Vol. 6 No. 4 (2023): International Journal of Science, Research and Technology (IJSRAT) , pp. 10305-10312. https://doi.org/10.15662/IJSRAT.2023.0604004

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