Zero-Trust and AI-Powered Security Architecture for SAP-Centric Enterprise Platforms and Digital Banking Infrastructure

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Published: 2025-09-24
DOI: https://doi.org/10.15662/IJRPETM.2025.0805029
Keywords:
Zero-Trust Security, AI-Powered Security, SAP Enterprise Platforms, Digital Banking, Cybersecurity, Anomaly Detection, Predictive Risk Analytics, Cloud-Native Security, Micro-Segmentation, Regulatory Compliance

Main Article Content

Christian S. Jensen
Senior Software Engineer, Finland

Abstract

As enterprise platforms and digital banking infrastructures increasingly migrate to cloud-native and hybrid environments, security challenges have grown in complexity. Traditional perimeter-based security models are no longer sufficient to protect sensitive financial data, SAP-centric enterprise applications, and interconnected digital banking systems. Cyber threats such as account takeovers, insider attacks, ransomware, and fraud demand adaptive, proactive, and intelligent security architectures.

 


This research proposes a Zero-Trust and AI-powered security architecture for SAP-centric enterprise platforms and digital banking infrastructures. The framework integrates identity-centric security, continuous authentication, micro-segmentation, and adaptive access policies with AI-based anomaly detection, threat intelligence, and predictive risk analytics. By enforcing the principle of “never trust, always verify,” the architecture ensures that every access request—internal or external—is authenticated, authorized, and continuously validated. AI modules monitor system behavior, detect suspicious patterns, and respond to security events in real time, enhancing the resilience and integrity of enterprise operations.


 


The proposed solution supports secure integration of SAP modules, cloud services, and banking applications, while maintaining compliance with regulations such as GDPR, PCI DSS, and SOX. The study highlights advantages including proactive threat detection, real-time response, regulatory alignment, and reduced attack surfaces, while also addressing challenges such as implementation complexity, AI model management, and operational overhead in large-scale SAP and financial environments.

Article Details

Issue

Vol. 8 No. 5 (2025): International Journal of Research Publications in Engineering, Technology and Management

Section

Articles

How to Cite

Zero-Trust and AI-Powered Security Architecture for SAP-Centric Enterprise Platforms and Digital Banking Infrastructure. (2025). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 8(5), 12911-12918. https://doi.org/10.15662/IJRPETM.2025.0805029

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