The rapid proliferation of cloud computing in enterprise domains such as retail, finance, healthcare, and critical national infrastructure has elevated concerns regarding security assurance, regulatory compliance, and systems resilience. Responding to this digital transformation, the discipline of DevSecOps has emerged as an integrative paradigm that embeds security principles throughout the software development lifecycle (SDLC), from early design to continuous operations. This research critically examines the theoretical foundations, practical implementations, and empirical outcomes associated with DevSecOps adoption, with particular emphasis on cloud‑native environments and compliance‑driven contexts. Our analysis synthesizes diverse perspectives including comparative evaluations of DevOps versus DevSecOps (Chawla & Malhotra, 2019), enterprise‑scale implementation hurdles (Carlson & Patel, 2020), and principles for secure software engineering (Singh & Roy, 2018). By integrating critical theoretical debate with practical insights, we identify the conditions under which DevSecOps yields demonstrable improvements in cloud security posture, compliance readiness, and operational resilience. Implications for future research and practice are discussed, particularly regarding emerging cloud service models, regulatory dynamics, and the evolving role of artificial intelligence in security automation.

DevSecOps, Cloud Security, Continuous Assurance

Petroski, T., & Beller, M. (2019). Security and Automation in DevSecOps: The Role of Continuous Testing. Journal of Secure Software, 29(5), 129-143.

Fitzgerald, B., & Stol, K.-J. (2017). Continuous software engineering: A roadmap and agenda. Journal of Systems and Software, 123, 176-189.

Zhang, Y., & Sun, L. (2019). Cloud Security and the Role of DevSecOps in DevOps Environment. Cloud Security Journal, 16(2), 55-67.

Carlson, M., & Patel, R. (2020). The Challenges of Implementing DevSecOps in Enterprise Environments. Enterprise Software Security Review, 15(4), 47-60.

Chawla, R., & Malhotra, S. (2019). DevOps vs. DevSecOps: A Comparative Study of Their Impact on Security. Journal of Cloud Computing and Cybersecurity, 7(3), 33-50.

Allen, W., & Garcia, L. (2019). Automating Security in DevOps with DevSecOps: A Case Study. Software Engineering Journal, 42(6), 87-99.

Brown, K., & Chiu, P. (2020). Security and Automation in DevOps: DevSecOps as the Solution. Journal of Information Systems, 36(4), 101-112.

Gangula, S. (2025). Secure DevOps in retail cloud: Strategies for compliance and resilience. The American Journal of Engineering and Technology, 7(05), 109-122. https://doi.org/10.37547/tajet/Volume07Issue05-09

Singh, R., & Roy, P. (2018). DevSecOps for Secure Software Development: Principles and Practices. Journal of Computer Security, 27(1), 17-29.

Ahmed, S., & Singh, P. (2021). Understanding DevSecOps: Security Integration for Continuous Delivery. Cybersecurity Trends Journal, 9(2), 65-79.

Thomas, J., & Lee, M. (2020). Integrating Security from the Start: DevSecOps for Modern Software Development. International Journal of Software Systems, 21(4), 101-113.

Bass, L., Weber, I., & Zhu, L. (2015). DevOps: A software architect's perspective. Addison-Wesley Professional.

Meza, A., & Williams, H. (2020). Best Practices for DevSecOps Implementation in Cloud-native Environments. Cloud Computing Review, 14(1), 22-37.

Smith, B., & Evans, D. (2018). Agile Security: The Integration of DevOps and DevSecOps. Software Architecture and Security Review, 22(3), 11-23.

Patel, K., & Singh, R. (2020). A Comprehensive Approach to Security in DevOps: The Role of DevSecOps. Journal of Cloud Software Security, 11(1), 32-48.

Shahin, M., Babar, M.A., & Zhu, L. (2017). Continuous integration, delivery and deployment: a systematic review on approaches, tools, challenges and practices. IEEE Access, 5, 3909-3943.

Leite, L., et al. (2019). A survey of DevOps concepts and challenges. ACM Computing Surveys, 52(6), 1-35.

Checkmarx. (2020). An Integrated Approach to Embedding Security into DevOps. https://www.checkmarx.com/ebooks/an-integrated-approach-to-embedding-security-into-devops

Malhotra, N., & Kumar, P. (2020). The Role of DevSecOps in Achieving Agile Security. Journal of Software Security, 17(3), 87-102.

Stahl, D., Martensson, T., & Bosch, J. (2017). Continuous practices and devops: beyond the buzz, what does it all mean? 43rd Euromicro Conference on Software Engineering and Advanced Applications (SEAA).

Zahedi, M., Rajapakse, R.N., & Babar, M.A. (2020). Mining questions asked about continuous software engineering: A case study of Stack Overflow. Proceedings of the 24th International Conference on Evaluation and Assessment in Software Engineering.

Leppänen, M., et al. (2015). The highways and country roads to continuous deployment. IEEE Software, 32(2), 64-72.

Chen, L. (2015). Continuous delivery: Huge benefits, but challenges too. IEEE Software, 32(2), 50-54.

Shahin, M., et al. (2019). An empirical study of architecting for continuous delivery and deployment. Empirical Software Engineering, 24, 1061-1108.

Ajagbe, S.A., Amuda, K.A., Oladipupo, M.A., Afe, O.F., & Okesola, K.I. (2021). Multi-classification of Alzheimer disease on magnetic resonance images (MRI) using deep learning.

Srivastava, P.K., & Jakkani, A.K. (2018). FPGA Implementation of Pipelined 8×8 2-D DCT and IDCT Structure for H.264 Protocol. 2018 3rd International Conference for Convergence in Technology (I2CT). IEEE.

Chen, L., Babar, M.A., & Zhang, H. (2010). Towards an evidence-based understanding of electronic data sources. 14th International Conference on Evaluation and Assessment in Software Engineering.

Bosch, J. (2014). Continuous software engineering: An introduction. Cham: Springer International Publishing, 3-13.

Ajagbe, S.A., et al. (2021). Multi-classification of Alzheimer disease on magnetic resonance images (MRI) using deep learning.