AI-Driven Cloud-Native Architecture for Secure SAP Platforms and Intelligent Data Integration
Abstract
The rapid evolution of digital technologies has compelled enterprises to modernize their enterprise architecture to remain competitive, scalable, and secure. Traditional enterprise infrastructures often struggle to support the increasing demands of data-driven decision making, real-time analytics, and intelligent automation. Artificial Intelligence (AI) combined with cloud-native architectures has emerged as a transformative approach to redesign enterprise systems, particularly for complex enterprise platforms such as SAP. This study explores the design and implementation of AI-driven cloud-native enterprise architectures that enhance security, enable intelligent data integration, and support scalable digital transformation initiatives. The research emphasizes how containerization, microservices, AI-based analytics, and automated security frameworks can optimize SAP platform operations across hybrid and multi-cloud environments. Furthermore, the integration of AI technologies facilitates predictive analytics, anomaly detection, and automated resource management, significantly improving system resilience and operational efficiency. The paper also highlights intelligent data integration strategies that allow organizations to unify structured and unstructured data across multiple enterprise systems. Through an analytical and methodological framework, the research examines architectural models, deployment strategies, and governance mechanisms required for implementing secure SAP ecosystems in cloud environments. The findings suggest that AI-driven cloud-native architectures significantly enhance enterprise agility, operational scalability, and data intelligence while ensuring robust security compliance and sustainable digital transformation.
Article Information
Journal |
International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
|---|---|
Volume (Issue) |
Vol. 8 No. 5 (2025): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
DOI |
|
Pages |
17233-17244 |
Published |
September 8, 2025 |
| Copyright | |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Kishore Nayak (2025). AI-Driven Cloud-Native Architecture for Secure SAP Platforms and Intelligent Data Integration. International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , Vol. 8 No. 5 (2025): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , pp. 17233-17244. https://doi.org/10.15662/IJAESIT.2025.0805006 |
References
2. Bathina, S. (2025). Precision Pulse: AI-driven micro-segmentation for optimized retail customer engagement. Computer Fraud and Security, 2025(2), 1479–1487.
3. Sivanantham, E., Vijayakumar, R., Veda, P., Nithya, A., Vinayagam, P. V., & Renukadevi, S. (2024, April). Optimizing Smart Methane Farms: Intelligent Waste Sorting for Maximum Biogas Yield through Naive Bayes and IoT Integration. In 2024 10th International Conference on Communication and Signal Processing (ICCSP) (pp. 1205-1210). IEEE.
4. Ambati, K. C. (2024). Enterprise-wide procurement consolidation: Ivalua-SAP-EDW integration architecture for global supply chain excellence. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 7(4), 14309–14318.
5. Karnam, A. (2023). SAP Beyond Uptime: Engineering Intelligent AMS with High Availability & DR through Pacemaker Automation. International Journal of Research Publications in Engineering, Technology and Management, 6(5), 9351–9361. https://doi.org/10.15662/IJRPETM.2023.0605011
6. Panda, S. S. (2024). Managing BSL Implementation A TPM’s Guide to Robust Data centers. International Journal of Technology, Management and Humanities, 10(01), 33-38.
7. Gangina, P. (2024). Generative AI integration patterns in enterprise microservices ecosystems. International Journal of Science, Research and Technology, 7(6), 13153–13165.
8. Nallamothu, T. K. (2024). Empowering Analysts with AI: Evaluating Nuance DAX Copilot in Business Intelligence Environments. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 7(4), 10624-10633.
9. Parathraju, P., & Umasankar, P. (2025). Performance evaluation of ultrathin CdTe-based solar cells with dual absorbers via SCAPS-1D simulation. Scientific Reports, 15(1), 26428.
10. P. Jothilingam, “Edge computing for industrial automation and control: Enabling real-time processing, scalable architectures and secure operations,” Certified Journal of International Research (CJIR), vol. 5, no. 1, pp. 1–8, Mar. 2025.
11. Rao, N. S., Shanmugapriya, G., Vinod, S., & Mallick, S. P. (2023, March). Detecting human behavior from a silhouette using convolutional neural networks. In 2023 Second International Conference on Electronics and Renewable Systems (ICEARS) (pp. 943-948). IEEE.
12. Sugumar, R. (2024). AI-Driven Cloud Framework for Real-Time Financial Threat Detection in Digital Banking and SAP Environments. International Journal of Technology, Management and Humanities, 10(04), 165-175.
13. Gopinathan, V. R. (2024). Secure Explainable AI on Databricks–SAP Cloud for Risk-Sensitive Healthcare Analytics and Swarm-Based QoS Control. International Journal of Engineering & Extended Technologies Research (IJEETR), 6(4), 8452-8459.
14. Potel, R. (2022). AI-Driven Security Graphs for Real-Time Breach Containment in Hybrid Cloud Environments. International Journal of AI, BigData, Computational and Management Studies, 3(4), 123-131.
15. Madathala, H., Thumala, S. R., Barmavat, B., & Prakash, K. K. S. (2024). Functional consideration in cloud migration. International Peer Reviewed/Refereed Multidisciplinary Journal (EIPRMJ), 13(2).
16. Kamadi, S. (2025). Zero trust architecture implementation in hybrid financial technology ecosystems: A comprehensive framework for regulated environments. International Journal for Multidisciplinary Research, 7(3), 1–17.
17. Ireddy, Ravi Kumar. (2023). API-driven interoperability framework for corporate treasury management: A financial data exchange standard implementation with secure data aggregation networks. World Journal of Advanced Research and Reviews, 19(2), 1727–1738. https://doi.org/10.30574/wjarr.2023.19.2.1609
18. Ande, B. R. (2025, June). AI-Driven Continuous Authentication: Integrating Deep Learning with Multimodal Biometrics for Enhanced Identity Verification. In International Conference on Data Science and Big Data Analysis (pp. 478-490). Cham: Springer Nature Switzerland.
19. C.Nagarajan and M.Madheswaran - ‘Performance Analysis of LCL-T Resonant Converter with Fuzzy/PID Using State Space Analysis’- Springer, Electrical Engineering, Vol.93 (3), pp.167-178, September 2011.
20. Devi, C., Musunuru, M. V., & Mohammed, A. S. (2023). Reinforcement-Learning Scheduler for Multi-Tenant Spark Clustersunder Privacy Constraints. Newark Journal of Human-Centric AI and Robotics Interaction, 3, 496-527.
21. Pervin, T., Akter, S., Afrin, S., Hossain, M. R., Chy, M. S. K., Akter, S., ... & Abdullah, C. A. (2025). A hybrid CNN-LSTM approach for detecting anomalous bank transactions: Enhancing financial fraud detection accuracy. The American Journal of Management and Economics Innovations, 7(04), 116-123.
22. Uttama Reddy Sanepalli , " Adaptive Intelligence Framework for Retirement Portfolio Management: Self-Optimizing Infrastructure for Dynamic Asset Allocation and Risk Mitigation" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 6, pp.769-780, November-December-2022. Available at doi : https://doi.org/10.32628/CSEIT22557
23. Gowda, M. K. S. (2025). Comprehensive Audit Data Pipeline Architecture-Strategies for Modern Banking Audit, Compliance and Risk Management. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 8(1), 11590-11597.
24. Suddala, V. R. A. K. (2024). Driving Innovation and Compliance in Global Payment Platforms through Predictive Analytics and DevOps Automation. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 7(4), 10662-10672.
25. Sampath Kumar Konda, “Distributed AI Infrastructure Orchestration: A Hyperscale Multi-Cloud Framework for Geographic Load Balancing with Renewable Energy Optimization”, Int J Sci Res Sci Eng Technol, vol. 11, no. 4, pp. 522–533, Aug. 2024, doi: 10.32628/IJSRSET242438.
26. Geetha, S., Vigenesh, M., & Santhosh, R. (2025). HEART SAVIOUR: A Dense Network Four Way Transformer Network for Remote Heart Disease Monitoring using Medical Sensors for Blockchain Cloud Assisted Healthcare. Journal of Cybersecurity & Information Management, 15(1).
27. Sriramoju, S. (2024). Secure data flow patterns in financial integration architecture. International Journal of Computer Technology and Electronics Communication (IJCTEC), 7(4), 9144–9151.
28. Nandhini, T., Babu, M. R., Natarajan, B., Subramaniam, K., & Prasanna, D. (2024). A NOVEL HYBRID ALGORITHM COMBINING NEURAL NETWORKS AND GENETIC PROGRAMMING FOR CLOUD RESOURCE MANAGEMENT. Frontiers in Health Informatics, 13(8).
29. HV, M. S., & Kumar, S. S. (2024). Fusion Based Depression Detection through Artificial Intelligence using Electroencephalogram (EEG). Fusion: Practice & Applications, 14(2).
30. Mulla, F. (2024). Choosing the Best Architecture for Mobile Applications. International Journal Of Research In Computer Applications And Information Technology, 7, 2350–2363. https://doi.org/10.34218/IJRCAIT_07_02_173
31. S. Vishwarup et al., "Automatic Person Count Indication System using IoT in a Hotel Infrastructure," 2020 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, 2020, pp. 1-4, doi: 10.1109/ICCCI48352.2020.9104195
32. H. Dama, Researcher III, Secure Credential Management in Cloud Databases using Azure Key Vault Integration, Int. J. Comput. Eng. Technol. 16 (2025) 163–176. doi:10.34218/IJCET_16_03_013
33. Viswanathan, Venkatraman. "Embedding Ethical Principles into Generative AI Workflows for Project Teams." (2024).
34. Thota, S. (2024). A Cloud-Based Blockchain and AI Hybrid Model for Secure CRM Data Management in Salesforce. International Journal of Emerging Research in Engineering and Technology, 5(2), 124-135.
35. Gurajapu, A., Anumolu, S., Garimella, V., Chundi, V. M. S. R., & Gubbala, V. S. A. P. (2025). Modernizing Mission-Critical Systems: A Hybrid-Cloud Transformation Roadmap. Journal of Computer Science and Technology Studies, 7(1), 425-430.
36. Grandhe, K. (2025). Leveraging SAP S/4HANA and embedded analytics for real-time financial reporting. International Journal of Multidisciplinary Research and Growth Evaluation, 6(4), 1446–1448. https://doi.org/10.54660/.IJMRGE.2025.6.4.1446-1448
37. Anumula, S. R. (2025). Transforming Retail Logistics: Smart Receivings and Claims Management at Walmart. Journal Of Engineering And Computer Sciences, 4(7), 204-210.
38. Jayaraman, S., Rajendran, S., & P, S. P. (2019). Fuzzy c-means clustering and elliptic curve cryptography using privacy preserving in cloud. International Journal of Business Intelligence and Data Mining, 15(3), 273-287.
39. Gopinathan, V. R. (2024). Cyber-Resilient Digital Banking Analytics Using AI-Driven Federated Machine Learning on AWS. International Journal of Engineering & Extended Technologies Research (IJEETR), 6(4), 8419-8426.
40. Garg, V. K., Soundappan, S. J., & Kaur, E. M. (2020). Enhancement in intrusion detection system for WLAN using genetic algorithms. South Asian Research Journal of Engineering and Technology, 2(6), 62–64. https://doi.org/10.36346/sarjet.2020.v02i06.003