Articles
AI-Enabled Secure Enterprise Data Architecture Using Cloud-Native Infrastructure and Predictive Vulnerability Intelligence
Abstract
In the modern digital economy, enterprises generate and process massive volumes of sensitive data across distributed systems, cloud platforms, and hybrid infrastructures. Ensuring the security, integrity, and availability of enterprise data has become increasingly complex due to evolving cyber threats, large attack surfaces, and the rapid adoption of cloud technologies. This paper presents an AI-enabled secure enterprise data architecture that leverages cloud-native infrastructure and predictive vulnerability intelligence to enhance data protection and operational resilience. The proposed framework integrates artificial intelligence for threat detection, automated vulnerability prediction, and real-time security orchestration. By combining cloud-native technologies such as microservices, container orchestration, and zero-trust security models with machine learning–driven vulnerability intelligence, organizations can proactively detect threats, minimize attack surfaces, and ensure continuous protection of enterprise data assets.
Article Information
Journal |
International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
|---|---|
Volume (Issue) |
Vol. 8 No. 6 (2025): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
DOI |
|
Pages |
17773-17780 |
Published |
December 9, 2025 |
| Copyright | |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Adrien Guatto (2025). AI-Enabled Secure Enterprise Data Architecture Using Cloud-Native Infrastructure and Predictive Vulnerability Intelligence. International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , Vol. 8 No. 6 (2025): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , pp. 17773-17780. https://doi.org/10.15662/IJAESIT.2025.0806009 |
References
1. Sammy, F., Chettier, T., Boyina, V., Shingne, H., Saluja, K., Mali, M., ... & Shobana, A. (2025). Deep Learning-Driven Visual Analytics Framework for Next-Generation Environmental Monitoring. Journal of Applied Science and Technology Trends, 114-122.
2. 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.
3. 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.
4. Jagadeesh, S., & Sugumar, R. (2017). Optimal knowledge extraction system based on GSA and AANN. International Journal of Control Theory and Applications, 10(12), 153–162.
5. Gaddapuri, N. S. (2025). Digital twin governance: IoT-driven real-time regulatory auditing in smart hospital architecture. International Journal of Computer Technology and Electronics Communication, 8(5), 11515–11524.
6. Kumar, S. A., & Anand, L. (2025). A Novel EEG-Based Deep Learning Framework for Enhancing Communication in Locked-In Syndrome Using P300 Speller and Attention Mechanisms. KSII Transactions on Internet and Information Systems, 19(11), 3841-3855.
7. Panda, S. S. (2024). Delivering Scalable Cloud Services in China: Microsoft and 21Vianet Collaboration. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 7(6), 11325-11333.
8. Inbavalli, M., & Arasu, T. (2015). Efficient Analysis of Frequent Item Set Association Rule Mining Methods. International Journal of Scientific & Engineering Research, 6(4).
9. Ramsugeerthi, A., Neela Madheswari, A., Umamaheswari, A., & Prassana, D. (2020). Location navigation assistance for educational institutions using augmented reality. Journal of Xidian University, 14(4), 1342–1347.
10. Gurajapu, A., Anumolu, S., Garimella, V., Chundi, V. M. S. R., & Gubbala, V. S. A. P. (2025). Ethical and Trustworthy Autonomous Agents in Network SecOps: Transparency, Auditing, and Human-in-the-Loop Overrides. Frontiers in Computer Science and Artificial Intelligence, 4(2), 63-66.
11. Grandhe, K. (2025). Designing a Scalable Data Lake Architecture on AWS Using Glue and S3. International Journal of Artificial Intelligence Data Science and Machine Learning, 6(3), 60-63.
12. Ravi Kumar Ireddy. (2023). AI Driven Predictive Vulnerability Intelligence for Cloud-Native Ecosystems. International Journal of Scientific Research in Computer Science Engineering and Information Technology, 9(2), 894-903.
13. Kamadi, S. (2025). Machine learning and AI architecture: A comprehensive framework for production-grade intelligent systems. World Journal of Advanced Research and Reviews, 27(1), 2789–2799.
14. Vimal Raja, G. (2024). Intelligent Data Transition in Automotive Manufacturing Systems Using Machine Learning. International Journal of Multidisciplinary and Scientific Emerging Research, 12(2), 515-518.
15. Poornachandar, T., Latha, A., Nisha, K., Revathi, K., & Sathishkumar, V. E. (2025, September). Cloud-Based Extreme Learning Machines for Mining Waste Detoxification Efficiency. In 2025 4th International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) (pp. 1348-1353). IEEE.
16. Muthusamy, P., Muthirevula, G. R., & Mohammed, A. S. (2025). Zero-Touch Continuous Audit with Hybrid Symbolic-Neural Reasoning. Newark Journal of Human-Centric AI and Robotics Interaction, 5, 80-111.
17. Surampudi, Y., Kondaveeti, D., & Pichaimani, T. (2023). A Comparative Study of Time Complexity in Big Data Engineering: Evaluating Efficiency of Sorting and Searching Algorithms in Large-Scale Data Systems. Journal of Science & Technology, 4(4), 127-165.
18. Adari, V. K. (2024). Interoperability and Data Modernization: Building a Connected Banking Ecosystem. International Journal of Computer Engineering and Technology, 15(6), 653-662.
19. Kalra, S., Faiz, A., Aggarwal, D., Vigenesh, M., Ramesh, P. N., & Elais, S. (2025, December). Optimizing CNNR-NNT Model for Effective Product Recommendation in E-Commerce. In 2025 International Conference on AI-Driven STEM Education and Learning Technologies (AISTEMEDU) (pp. 1-7). IEEE.
20. Konda, S. K. (2024). Carbon-native DCIM architectures for AI data centers: Autonomous infrastructure control via smart grid intelligence. World Journal of Advanced Research and Reviews, 21(1), 3008–3318.
21. Thumala, S. R., Madathala, H., & Sharma, S. (2025, March). Towards Sustainable Cloud Computing: Innovations in Energy-Efficient Resource Allocation. In 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS) (pp. 1528-1533). IEEE.
22. S. Vishwarup et al. (2020). Automatic Person Count Indication System using IoT in a Hotel Infrastructure. In 2020 International Conference on Computer Communication and Informatics (ICCCI) (pp. 1-4).
23. Jothilingam, P. (2025). Towards autonomous commissioning: Integrating digital twins artificial intelligence and smart sensors for next-generation process control systems. Certified Journal of International Research, 5(1), 1-8.
24. Tamizharasi, S., Rubini, P., Saravana Kumar, S., & Arockiam, D. Adapting federated learning-based AI models to dynamic cyberthreats in pervasive IoT environments.
25. Vijayakumar, R., & Gireesh, G. (2013, July). Quantitative analysis and fracture detection of pelvic bone X-ray images. In 2013 Fourth International Conference on Computing Communications and Networking Technologies (ICCCNT) (pp. 1-7). IEEE.
26. Suddala, V. R. A. K. (2025, November). FADL-DP and CNN-GRU Driven Cloud Framework for Secure Healthcare E-Commerce Platform. In 2025 5th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS) (pp. 991-996). IEEE.
27. Gopinathan, V. R. (2024). Cyber-Resilient Digital Banking Analytics Using AI-Driven Federated Machine Learning on AWS. International Journal of Engineering & Extended Technologies Research, 6(4), 8419-8426.
28. Gadige, C. D. (2025). The evolution of user interface development in Salesforce: From Visualforce to Lightning Web Components. International Journal of Research Publications in Engineering Technology and Management (IJRPETM), 8(5), 12883–12890.
29. Uttama Reddy Sanepalli. (2022). 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, 8(6), 769-780.
30. Gowda, M. K. S. (2025). Driving Return on Risk-Weighted Assets Improvement via Audit, Analytics, and Advanced Modeling in Bank Portfolio Management. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 8(3), 12197-12206.
31. Ramidi, M. (2024). Securing Mobile App Development with Compliance Aware CI/CD Pipelines in Government. International Journal of Computer Technology and Electronics Communication, 7(3), 8824-8825.
32. Ravi Kumar Ireddy. (2023). AI Driven Predictive Vulnerability Intelligence for Cloud-Native Ecosystems. International Journal of Scientific Research in Computer Science Engineering and Information Technology, 9(2), 894-903.
33. Namdeo, A. (2022). Federated learning BI across multi-cloud data silos. The International Journal of Research Publications in Engineering, Technology and Management, 5(6), 7893–7903.
34. Pothuri, M. K. (2025). The role of data governance in achieving compliance and trust in healthcare and fintech. IJAIDR–Journal of Advances in Developmental Research, 16(2).
35. Shewale, V. (2025). The Ethics of Cybersecurity: Balancing Security and Privacy in the Digital Age. European Journal of Computer Science and Information Technology, 13(15), 11-20.
36. Sarabu, V. B. (2022). Hybrid on-premise to cloud data migration: A controlled one-way synchronization framework for enterprise-scale modernization. International Journal of Science, Research and Technology, 5(5), 19-33.
37. Gadige, C. D. (2025). The evolution of user interface development in Salesforce: From Visualforce to Lightning Web Components. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 8(5), 12883–12890.
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. Sheta, S.V. (2023). The Importance of Software Documentation in the Development and Maintenance Phases. REDVET - Revista Electrónica de Veterinaria, 24(3), 609–618.
40. Grandhe, K. (2025). Designing a Scalable Data Lake Architecture on AWS Using Glue and S3. International Journal of Artificial Intelligence, Data Science, and Machine Learning, 6(3), 60-63.
41. Karnam, A. (2024). Next-Gen Observability for SAP: How Azure Monitor Enables Predictive and Autonomous Operations. International Journal of Computer Technology and Electronics Communication, 7(2), 8515–8524. https://doi.org/10.15680/IJCTECE.2024.0702006
42. Rana, M., Srinivas, S., Jamili, L. K., Jaiswal, I. A., Nakka, S., & Kasetti, S. (2025, May). Real-Time Monitoring and Prediction of Blood Sugar Levels in Diabetic Patients with Functional Models. In 2025 International Conference on Engineering, Technology & Management (ICETM) (pp. 1-6). IEEE.
2. 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.
3. 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.
4. Jagadeesh, S., & Sugumar, R. (2017). Optimal knowledge extraction system based on GSA and AANN. International Journal of Control Theory and Applications, 10(12), 153–162.
5. Gaddapuri, N. S. (2025). Digital twin governance: IoT-driven real-time regulatory auditing in smart hospital architecture. International Journal of Computer Technology and Electronics Communication, 8(5), 11515–11524.
6. Kumar, S. A., & Anand, L. (2025). A Novel EEG-Based Deep Learning Framework for Enhancing Communication in Locked-In Syndrome Using P300 Speller and Attention Mechanisms. KSII Transactions on Internet and Information Systems, 19(11), 3841-3855.
7. Panda, S. S. (2024). Delivering Scalable Cloud Services in China: Microsoft and 21Vianet Collaboration. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 7(6), 11325-11333.
8. Inbavalli, M., & Arasu, T. (2015). Efficient Analysis of Frequent Item Set Association Rule Mining Methods. International Journal of Scientific & Engineering Research, 6(4).
9. Ramsugeerthi, A., Neela Madheswari, A., Umamaheswari, A., & Prassana, D. (2020). Location navigation assistance for educational institutions using augmented reality. Journal of Xidian University, 14(4), 1342–1347.
10. Gurajapu, A., Anumolu, S., Garimella, V., Chundi, V. M. S. R., & Gubbala, V. S. A. P. (2025). Ethical and Trustworthy Autonomous Agents in Network SecOps: Transparency, Auditing, and Human-in-the-Loop Overrides. Frontiers in Computer Science and Artificial Intelligence, 4(2), 63-66.
11. Grandhe, K. (2025). Designing a Scalable Data Lake Architecture on AWS Using Glue and S3. International Journal of Artificial Intelligence Data Science and Machine Learning, 6(3), 60-63.
12. Ravi Kumar Ireddy. (2023). AI Driven Predictive Vulnerability Intelligence for Cloud-Native Ecosystems. International Journal of Scientific Research in Computer Science Engineering and Information Technology, 9(2), 894-903.
13. Kamadi, S. (2025). Machine learning and AI architecture: A comprehensive framework for production-grade intelligent systems. World Journal of Advanced Research and Reviews, 27(1), 2789–2799.
14. Vimal Raja, G. (2024). Intelligent Data Transition in Automotive Manufacturing Systems Using Machine Learning. International Journal of Multidisciplinary and Scientific Emerging Research, 12(2), 515-518.
15. Poornachandar, T., Latha, A., Nisha, K., Revathi, K., & Sathishkumar, V. E. (2025, September). Cloud-Based Extreme Learning Machines for Mining Waste Detoxification Efficiency. In 2025 4th International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) (pp. 1348-1353). IEEE.
16. Muthusamy, P., Muthirevula, G. R., & Mohammed, A. S. (2025). Zero-Touch Continuous Audit with Hybrid Symbolic-Neural Reasoning. Newark Journal of Human-Centric AI and Robotics Interaction, 5, 80-111.
17. Surampudi, Y., Kondaveeti, D., & Pichaimani, T. (2023). A Comparative Study of Time Complexity in Big Data Engineering: Evaluating Efficiency of Sorting and Searching Algorithms in Large-Scale Data Systems. Journal of Science & Technology, 4(4), 127-165.
18. Adari, V. K. (2024). Interoperability and Data Modernization: Building a Connected Banking Ecosystem. International Journal of Computer Engineering and Technology, 15(6), 653-662.
19. Kalra, S., Faiz, A., Aggarwal, D., Vigenesh, M., Ramesh, P. N., & Elais, S. (2025, December). Optimizing CNNR-NNT Model for Effective Product Recommendation in E-Commerce. In 2025 International Conference on AI-Driven STEM Education and Learning Technologies (AISTEMEDU) (pp. 1-7). IEEE.
20. Konda, S. K. (2024). Carbon-native DCIM architectures for AI data centers: Autonomous infrastructure control via smart grid intelligence. World Journal of Advanced Research and Reviews, 21(1), 3008–3318.
21. Thumala, S. R., Madathala, H., & Sharma, S. (2025, March). Towards Sustainable Cloud Computing: Innovations in Energy-Efficient Resource Allocation. In 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS) (pp. 1528-1533). IEEE.
22. S. Vishwarup et al. (2020). Automatic Person Count Indication System using IoT in a Hotel Infrastructure. In 2020 International Conference on Computer Communication and Informatics (ICCCI) (pp. 1-4).
23. Jothilingam, P. (2025). Towards autonomous commissioning: Integrating digital twins artificial intelligence and smart sensors for next-generation process control systems. Certified Journal of International Research, 5(1), 1-8.
24. Tamizharasi, S., Rubini, P., Saravana Kumar, S., & Arockiam, D. Adapting federated learning-based AI models to dynamic cyberthreats in pervasive IoT environments.
25. Vijayakumar, R., & Gireesh, G. (2013, July). Quantitative analysis and fracture detection of pelvic bone X-ray images. In 2013 Fourth International Conference on Computing Communications and Networking Technologies (ICCCNT) (pp. 1-7). IEEE.
26. Suddala, V. R. A. K. (2025, November). FADL-DP and CNN-GRU Driven Cloud Framework for Secure Healthcare E-Commerce Platform. In 2025 5th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS) (pp. 991-996). IEEE.
27. Gopinathan, V. R. (2024). Cyber-Resilient Digital Banking Analytics Using AI-Driven Federated Machine Learning on AWS. International Journal of Engineering & Extended Technologies Research, 6(4), 8419-8426.
28. Gadige, C. D. (2025). The evolution of user interface development in Salesforce: From Visualforce to Lightning Web Components. International Journal of Research Publications in Engineering Technology and Management (IJRPETM), 8(5), 12883–12890.
29. Uttama Reddy Sanepalli. (2022). 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, 8(6), 769-780.
30. Gowda, M. K. S. (2025). Driving Return on Risk-Weighted Assets Improvement via Audit, Analytics, and Advanced Modeling in Bank Portfolio Management. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 8(3), 12197-12206.
31. Ramidi, M. (2024). Securing Mobile App Development with Compliance Aware CI/CD Pipelines in Government. International Journal of Computer Technology and Electronics Communication, 7(3), 8824-8825.
32. Ravi Kumar Ireddy. (2023). AI Driven Predictive Vulnerability Intelligence for Cloud-Native Ecosystems. International Journal of Scientific Research in Computer Science Engineering and Information Technology, 9(2), 894-903.
33. Namdeo, A. (2022). Federated learning BI across multi-cloud data silos. The International Journal of Research Publications in Engineering, Technology and Management, 5(6), 7893–7903.
34. Pothuri, M. K. (2025). The role of data governance in achieving compliance and trust in healthcare and fintech. IJAIDR–Journal of Advances in Developmental Research, 16(2).
35. Shewale, V. (2025). The Ethics of Cybersecurity: Balancing Security and Privacy in the Digital Age. European Journal of Computer Science and Information Technology, 13(15), 11-20.
36. Sarabu, V. B. (2022). Hybrid on-premise to cloud data migration: A controlled one-way synchronization framework for enterprise-scale modernization. International Journal of Science, Research and Technology, 5(5), 19-33.
37. Gadige, C. D. (2025). The evolution of user interface development in Salesforce: From Visualforce to Lightning Web Components. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 8(5), 12883–12890.
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. Sheta, S.V. (2023). The Importance of Software Documentation in the Development and Maintenance Phases. REDVET - Revista Electrónica de Veterinaria, 24(3), 609–618.
40. Grandhe, K. (2025). Designing a Scalable Data Lake Architecture on AWS Using Glue and S3. International Journal of Artificial Intelligence, Data Science, and Machine Learning, 6(3), 60-63.
41. Karnam, A. (2024). Next-Gen Observability for SAP: How Azure Monitor Enables Predictive and Autonomous Operations. International Journal of Computer Technology and Electronics Communication, 7(2), 8515–8524. https://doi.org/10.15680/IJCTECE.2024.0702006
42. Rana, M., Srinivas, S., Jamili, L. K., Jaiswal, I. A., Nakka, S., & Kasetti, S. (2025, May). Real-Time Monitoring and Prediction of Blood Sugar Levels in Diabetic Patients with Functional Models. In 2025 International Conference on Engineering, Technology & Management (ICETM) (pp. 1-6). IEEE.