Quantum-Enhanced AI-Cloud Architecture for Secure Online Systems via API and SAP

Thomas John Harrison

doi:10.15662/IJRAI.2025.0805006

Authors

Thomas John Harrison AI Solutions Architect, Ontario, Canada Author

DOI:

https://doi.org/10.15662/IJRAI.2025.0805006

Keywords:

Quantum-Enhanced AI, Cloud Architecture, Secure Online Systems, API Integration, SAP Data Management, Predictive Analytics, Cybersecurity, Real-Time Monitoring, Adaptive Systems

Abstract

This paper presents a Quantum-Enhanced AI-Cloud Architecture designed to provide secure, intelligent, and scalable solutions for online systems through API-driven integration and SAP-based data management. The framework leverages Artificial Intelligence (AI) and cloud computing to perform real-time data analytics, predictive threat detection, and adaptive system optimization across distributed online environments. Quantum-enhanced algorithms improve encryption strength, accelerate anomaly detection, and enhance predictive modeling, providing a future-ready approach to cybersecurity challenges. APIs enable seamless interoperability between cloud services, SAP modules, and external applications, ensuring flexible and standardized data exchange. SAP integration strengthens data governance, operational transparency, and workflow automation, supporting compliance with regulatory standards and enterprise requirements. By combining quantum-enhanced intelligence, cloud scalability, and API-driven interoperability, the proposed architecture delivers robust security, efficient system performance, and adaptive resilience for next-generation online enterprise ecosystems.

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