Secure-by-Design Cloud Software Delivery: How DevOps and Software Teams Co-Own Security Outcomes

Authors

  • Sumith Thalary Sr Cloud DevOps Engineer, Rexel USA, Dallas TX. Author
  • Anvesh Katipelly Senior Software Engineer, PayPal, Texas, USA. Author

DOI:

https://doi.org/10.63282/3050-9262.IJAIDSML-V4I1P115

Keywords:

Devsecops, Pipelines, Secrets, Identity, Security Automation Pipeline Enforcement, Runtime Controls, Devsecops Architecture, Cloud Security Devops, Cloud IAM Integration, Security Ownership Devops, Auth Flows, Crypto Usage, Secure Apis, Secure Coding Patterns, Authentication Logic, Trust Boundaries, Secure Software Delivery, Enterprise Application Security, Shift-Left Security, Secure API Design

Abstract

Cloud computing has altered the current software delivery system through a platform that offers flexibility of development and enabling scalable implementation. Nevertheless, the hastening of the rate of software delivery has also posed complicated security dilemmas which cannot be addressed efficiently by the currently applied security models. The traditional methods tend to consider security to be a separate phase that follows development, leading to late vulnerability discovery, ineffective remediation, and more risky operations. Secure-by-Design paradigm has become an important means to introduce security throughout the software development life cycle (SDLC), but in that of a cloud-based DevOps setup. This scholarly article explores how software engineering teams and DevOps teams can jointly share security results with each other by means of co-determined development finesse, by establishing automation, and security control. The paper examines the potential to apply DevSecOps principles to turn around the models of traditional software development to include security mechanisms in the continuous integration and continuous deployment (CI/CD) pipelines. With automated security testing built into infrastructural security policy, vulnerability scanning, and compliance monitoring as part of system development processes, organizations can minimally decrease security vulnerabilities whilst simultaneously sustaining the pace of delivery. Another issue that is discussed in this paper is the development of cultural change in the development team so as to foster a sense of shared responsibility among the developers, the operations engineers, and the security professionals. The transition towards integrated DevSecOps units instead of remote security forces allows the vulnerabilities to be detected and removed at the initial phases of the development process. The literature review was implemented thoroughly to review prior studies regarding the DevOps security integration, cloud security architecture, and secure software engineering methods.

The review brings out the fact that companies that embrace security-integrated pipes can enjoy better rates of vulnerability detection, remediation response, and adherence to industry standards like ISO 27001 and the NIST security models. Also, empirical evidence indicates that the organizations which have adopted secure-by-design architectures report tremendous decreases in production security occurrences relative to conventional development framework models. The proposed methodology in this study provides an ordered structure of incorporating the security controls in the various phases of DevOps such as planning, development, testing, deployment, and monitoring. The framework highlights automated threat modeling, static and dynamic testing of security, container security, infrastructure-as-code (IaC) validation, and runtime monitoring. These are mechanisms that are used to entrench security requirements in system architecture, system development practices, and system operation management. Moreover, the models and metrics of governance are proposed to gauge the maturity of security in cloud-native development environments. The study findings have shown that organizations that apply Secure-by-Design DevOps pipelines are characterized by high levels of security posture, operational resilience, and compliance preparedness. The results indicate that the vulnerability detection rates, patch response times and efficiency of incident mitigation have been determined to have improved. These enhancements show the success of shared security ownership system between operation and development teams. To summarize, the Secure-by-Design model is a paradigm shift in the field of delivering cloud software by reorganizing security as a mutual responsibility throughout DevOps ecosystems. The paper emphasizes that the need to incorporate safety measures in the development processes can greatly improve the organizational security stance in addition to agility, dependability and ease of use of cloud-centric software systems. The framework suggested can help advance the field of scholarly research and practice because it offers a systematized model of applying collaborative security governance in the contemporary cloud-based environment.

References

[1] Mirtsch, M., Kinne, J., & Blind, K. (2020). Exploring the adoption of the international information security management system standard ISO/IEC 27001: a web mining-based analysis. IEEE Transactions on Engineering Management, 68(1), 87-100.

[2] Kim, G., Humble, J., Debois, P., Willis, J., & Forsgren, N. (2021). The DevOps handbook: How to create world-class agility, reliability, & security in technology organizations. It Revolution.

[3] Forsgren, N., Humble, J., & Kim, G. (2018). Accelerate: The science of lean software and devops: Building and scaling high performing technology organizations. IT Revolution.

[4] McGraw, G. (2012). Software security: Building security in. Datenschutz und Datensicherheit-DuD, 36(9), 662-665.

[5] Fredj, O. B., Cheikhrouhou, O., Krichen, M., Hamam, H., & Derhab, A. (2020, November). An OWASP top ten driven survey on web application protection methods. In International Conference on Risks and Security of Internet and Systems (pp. 235-252). Cham: Springer International Publishing.

[6] Maria Bruma, L. (2021, February). Using Cloud Control Matrix to evaluate trust in cloud providers. In Proceedings of the 2021 10th International Conference on Software and Computer Applications (pp. 273-278).

[7] Singer, P. W., & Friedman, A. (2013). Cybersecurity and Cyberwar: What Everyone Needs to Know®. Oxford University Press.

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

[9] Almorsy, M., Grundy, J., & Müller, I. (2016). An analysis of the cloud computing security problem. arXiv preprint arXiv:1609.01107.

[10] Shostack, A. (2014). Threat modeling: Designing for security. John wiley & sons.

[11] Abbasi, A. A., Abbasi, A., Shamshirband, S., Chronopoulos, A. T., Persico, V., & Pescapè, A. (2019). Software-defined cloud computing: A systematic review on latest trends and developments. Ieee Access, 7, 93294-93314.

[12] Howard, M., & Lipner, S. (2006). The security development lifecycle (Vol. 8). Redmond: Microsoft Press.

[13] Rajkumar, M., Pole, A. K., Adige, V. S., & Mahanta, P. (2016, April). DevOps culture and its impact on cloud delivery and software development. In 2016 International Conference on Advances in computing, communication, & automation (ICACCA)(Spring) (pp. 1-6). IEEE.

[14] Sarna, D. E. (2010). Implementing and developing cloud computing applications. CRC press.

[15] Chang, V., Kuo, Y. H., & Ramachandran, M. (2016). Cloud computing adoption framework: A security framework for business clouds. Future Generation Computer Systems, 57, 24-41.

[16] de Vicente Mohino, J., Bermejo Higuera, J., Bermejo Higuera, J. R., & Sicilia Montalvo, J. A. (2019). The application of a new secure software development life cycle (S-SDLC) with agile methodologies. Electronics, 8(11), 1218.

[17] Karim, N. S. A., Albuolayan, A., Saba, T., & Rehman, A. (2016). The practice of secure software development in SDLC: an investigation through existing model and a case study. Security and Communication Networks, 9(18), 5333-5345.

[18] Koskinen, A. (2019). DevSecOps: building security into the core of DevOps.

[19] Desai, R., & Nisha, T. N. (2021, July). Best practices for ensuring security in devops: A case study approach. In Journal of Physics: Conference Series (Vol. 1964, No. 4, p. 042045). IOP Publishing.

[20] Rangnau, T., Buijtenen, R. V., Fransen, F., & Turkmen, F. (2020, October). Continuous security testing: A case study on integrating dynamic security testing tools in ci/cd pipelines. In 2020 IEEE 24th International Enterprise Distributed Object Computing Conference (EDOC) (pp. 145-154). IEEE.

[21] Antunes, N., & Vieira, M. (2014). Assessing and comparing vulnerability detection tools for web services: Benchmarking approach and examples. IEEE Transactions on Services Computing, 8(2), 269-283.

[22] Chennareddy, R. K. (2020). Engineering Intelligence Systems Using Big Data and Cloud Architectures for Modern Data Intensive Applications. International Journal of AI, BigData, Computational and Management Studies, 1(2), 41-50.

[23] Chennareddy, R. K. (2021). Designing Data and Analytics Ecosystems for High Volume Transaction Processing Applications. International Journal of AI, BigData, Computational and Management Studies, 2(2), 95-106.

[24] Sethuraman, P., & Chennareddy, R. K. (2022). Machine Learning Assisted Design of Wireless Access Systems for Reliable and Low-Latency Financial and Smart Commerce Services. International Journal of Artificial Intelligence, Data Science, and Machine Learning, 3(4), 133-142.

[25] Sethuraman, P., & Chennareddy, R. K. (2022). Intelligent Vehicular Traffic Flow Prediction Using Learning-Based Spatio-Temporal Models for Data-Driven Wireless Transportation and Urban Analytics Systems. International Journal of Emerging Trends in Computer Science and Information Technology, 3(2), 111-121.

[26] Sethuraman, P. (2022). Latency-Aware Scheduling and Resource Control Algorithms for Emergency and Public Safety Wireless Networks. International Journal of Emerging Research in Engineering and Technology, 3(4), 133-140.

Published

2023-03-30

Issue

Section

Articles

How to Cite

1.
Thalary S, Katipelly A. Secure-by-Design Cloud Software Delivery: How DevOps and Software Teams Co-Own Security Outcomes. IJAIDSML [Internet]. 2023 Mar. 30 [cited 2026 Apr. 24];4(1):131-40. Available from: https://ijaidsml.org/index.php/ijaidsml/article/view/490