Articles Open Access
Secure Digital Enterprise Engineering through AI-Driven Continuous Compliance DevSecOps and Cloud Security Posture Management
Associate, Cognizant Technology Solutions (CTS), Hyderabad, India
Abstract
The rapid adoption of cloud computing, artificial intelligence (AI), and digital transformation technologies has significantly reshaped enterprise engineering, creating new opportunities while introducing increasingly sophisticated cybersecurity challenges. Modern organizations require secure digital enterprise engineering frameworks that integrate AI-driven continuous compliance, DevSecOps practices, and Cloud Security Posture Management (CSPM) to maintain resilient, scalable, and trustworthy digital infrastructures. This study explores the role of AI in automating compliance monitoring, strengthening security throughout the software development lifecycle, and improving cloud security governance through continuous risk assessment and intelligent threat detection. A qualitative research methodology based on a comprehensive review of scholarly literature, industry reports, and enterprise security frameworks is employed to examine technological advancements, implementation strategies, and organizational practices. The findings indicate that AI-driven compliance automation enhances regulatory adherence by continuously monitoring security controls and identifying policy violations in real time. DevSecOps integrates security into every phase of software development, reducing vulnerabilities and accelerating secure software delivery, while Cloud Security Posture Management improves visibility, configuration management, and risk mitigation across cloud environments. The study concludes that integrating these technologies creates secure, adaptive, and resilient enterprise ecosystems capable of responding proactively to evolving cyber threats. The research provides practical guidance for organizations seeking to strengthen digital trust, improve operational resilience, and achieve sustainable digital transformation through intelligent security engineering.
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Publication Information
| Journal | International Research Journal of Innovative Engineering |
|---|---|
| Volume | 9 |
| Number | 5 |
| Pages | 17530-17540 |
| Published | 2025-09-19 |
| Issue | Vol. 9 No. 5 (2025): International Research Journal of Innovative Engineering (IRJIE) |
References
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2. Raja, G. V., & Mali, R. K. (2022). Building cognitive technology frameworks through artificial intelligence SAP cloud automation and enterprise intelligence. The International Journal of Research Publications in Engineering, Technology and Management, 5(4), 7152–7162.
3. Meesala, L. K. (2024). AI-augmented cloud security posture management for securing enterprise AI workloads. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 10(3), 1171-1184.
4. Kanji, R. K., Surasani, V. R., Kotha, N. K., & Chilakalapalli, U. K. (2023). NLP-based inter and intra-sentence relationship analysis-aware bank customer behavior analysis and preference detection using GLSNSTM. Journal of Computational Analysis and Applications, 31(4), 1834–1857.
5. Sudhan, S. K. H. H., & Kumar, S. S. (2015). An innovative proposal for secure cloud authentication using encrypted biometric authentication scheme. Indian journal of science and technology, 8(35), 1-5.
6. Rohit Wadhwa. (2024). Designing Event-Driven Enterprise Systems with Distributed Data Sharding and Partitioning Strategies. ISCSITR- International Journal of Computer Applications (ISCSITR-IJCA), 5(1), 22–35.
7. Kale, P. (2023). AI-Driven Continuous Compliance in DevOps Pipelines for Secure Platform Engineering Systems. International Journal of Emerging Trends in Computer Science and Information Technology, 4(2), 254-262.
8. Polamreddy, V. R. (2022). Architectural patterns for progressive enterprise platform transformation through controlled data synchronization. International Journal of Science, Research and Technology (IJSRAT), 5(1), 7164–7167.
9. Venkiteela, P. (2024). Strategic API modernization using Apigee X for enterprise transformation. Journal of Information Systems Engineering and Management, 9(4s), 14. https://jisem-journal.com/index.php/journal/article/view/13168
10. Begum, R. S., & Sugumar, R. (2016). Conditional entropy with swarm optimization approach for privacy preservation of datasets in cloud [J]. Indian Journal of Science and Technology, 9(28).
11. Narayanan, S. (2023). Operationalizing artificial intelligence security in the cloud: A practical integration framework for enterprise risk management. International Journal of Future Innovative Science and Technology (IJFIST), 6(3), 10619.
12. Vollem, S. (2024). From deterministic pipelines to intelligent orchestration: A transformer-driven framework for LLM-augmented DevOps automation. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 7(1), 9964-9975.
13. Chukkala, R. (2025, April). The Convergence of CCAI, Chatbots, and RCS Messaging: Redefining Business Communication in the AI Era. In International Conference of Global Innovations and Solutions (pp. 194-213). Cham: Springer Nature Switzerland.
14. Rajula, A. (2022). Cloud-based virtual patient engagement with intelligent scheduling and secure document management. International Journal of Future Innovative Science and Technology, 5(5), 9233–9245.
15. Kumar Adabala, P. (2021). Optimizing ERP Modernization: A Smart Data Migration Framework Approach. International Journal of Enhanced Research in Science, Technology &Amp, 61-72.
16. Gujarathi, M. (2025). Event-driven architecture in long-running enterprise validation workflows. International Journal of Research Publications in Engineering, Technology and Management, 8(4), 12572–12582.
17. Raja, G. V. (2023). Modernizing enterprise systems using AI with machine learning and cloud computing for intelligent systems. International Journal of Future Innovative Science and Technology (IJFIST), 6(6), 11713.
18. 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.
19. Kotla, Mutha Ravi Tej (2021). Machine learning-based predictive observability for enterprise integration platforms. Journal of Computer Engineering and Technology, 4(3), 1–24. https://doi.org/10.34218/JCET_04_03_001
20. Mathew, A. "Quantum AI in Cloud Environments." in Scientific Research, New Technologies and Applications ResearchGate, (2024).https://www.researchgate.net/publication/3860
51131_Quantum_AI_in_Cloud_Environments
21. Seetala, S. R. (2022). Adaptive machine learning frameworks for data quality monitoring: From anomaly detection to continuous pipeline validation. International Journal of Research and Applied Innovations, 5(1), 9467-9477.
22. Soundappan, S. J. (2022). Integrated Risk Governance Framework for Financial Compliance Supply Chain Resilience and Enterprise Data Management. International Journal of Computer Technology and Electronics Communication, 5(6), 16254-16263.
23. Meesala, A. (2024). Distributed securities pricing reconciliation at global scale: Price validation engine for financial institutions. World Journal of Advanced Research and Reviews, 21(2), 2212-2220.
24. Vas, M. R. (2024). Predictive Analytics and AI-Driven Models for Intelligent Decision-Making in Cloud-Based Enterprises. International Journal of Engineering & Extended Technologies Research (IJEETR), 6(6), 9234-9243.
25. Thota, S. K., & Anumula, S. K. (2024). Quantum-Enabled Drones for Battlefield Information Dominance: Integrating Sensing, Computing, and Secure Communications. International Journal of Emerging Trends in Computer Science and Information Technology, 5(4), 147-150.
26. Soundappan, S. J. (2023). AI-Driven Secure Enterprise Analytics and Intelligent Cloud Data Management Frameworks. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 6(3), 8236-8242.
27. Immadi, S. K. (2025). Optimizing ERP for Human Capital Management. In Applied Research for Growth, Innovation and Sustainable Impact (pp. 377-384). Routledge.
28. Gopisetty, S. (2024). Why Did You Do That, AI?-Giving Bankers a Safe “Undo” Button with Explainable and Counterfactual Intelligence in Cloud-Native Oracle EBS. Journal ID, 4951, 3268.
29. Mathew, A., & Alex, H. (2023). From Code to Cure: The Role of AI in Accelerating Drug Discovery. Advances and Challenges in Science and Technology Vol. 2, 94-102.
30. Adepu, G. (2025). Generative AI–Powered Epidemiological Modeling Platforms for Autonomous Disease Surveillance. International Journal of Science, Research and Technology, 8(1), 13501-13504.
31. Sudhan, S. K. H. H., & Kumar, S. S. (2016). Gallant Use of Cloud by a Novel Framework of Encrypted Biometric Authentication and Multi Level Data Protection. Indian Journal of Science and Technology, 9, 44.
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