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Autonomous DevSecOps: The Rise of Self-Healing Pipelines
Ramesh Krishna Mahimalur
Pages - 66 - 83     |    Revised - 30-04-2025     |    Published - 01-06-2025
Published in International Journal of Computer Science and Security (IJCSS)
Volume - 19   Issue - 3    |    Publication Date - June 2025  Table of Contents
MORE INFORMATION
References   |   Abstracting & Indexing
KEYWORDS
DevSecOps, Self-Healing Pipelines, Chaos Engineering, Security Automation, AWS, Continuous Integration, Continuous Deployment, Remediation Automation.
ABSTRACT
This article introduces the concept of Autonomous DevSecOps with Self-Healing Pipelines, representing a paradigm shift in software security integration by combining chaos engineering principles with security operations to create resilient, secure, and self-remediating development pipelines. Through implementing the detailed ChaosSecOps methodology, organizations can architect, implement, and maintain these pipelines using AWS services and modern DevOps tools, as evidenced by a real-world financial technology platform case study that demonstrated remarkable improvements: an 83% reduction in mean time to recovery, 71% decrease in security incident response times, and successful regulatory compliance while establishing a new standard for operational excellence in secure software delivery—all while providing comprehensive implementation guidance, addressing common challenges with practical mitigations, and exploring future trends including AI integration, cross-pipeline intelligence, and enhanced human- AI collaboration in security operations.
REFERENCES
AWS. (2023). AWS Security Hub Documentation. https://docs.aws.amazon.com/securityhub/
Cois, C. A. (2022). Measuring DevSecOps: Metrics for Pipeline Security. O'Reilly Media.
Forsgren, N., Humble, J., & Kim, G. (2018). Accelerate: The Science of Lean Software and DevOps. IT Revolution Press.
Humble, J., & Farley, D. (2010). Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation. Addison-Wesley.
Kim, G., Debois, P., Willis, J., & Humble, J. (2016). The DevOps Handbook. IT Revolution Press.
Loukides, M. (2023). Chaos Engineering: System Resiliency in Practice. O'Reilly Media.
Mahimalur, R. K. (2025a). The Ephemeral DevOps Pipeline: Building for Self-Destruction (a ChaosSecOps Approach). SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5167350
Mahimalur, R. K. (2025b). Immutable Secrets Management: A Zero-Trust Approach to Sensitive Data in Containers. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5169091
Mahimalur, R. K. (2025c). ChaosSecOps: Forging Resilient and Secure Systems Through Controlled Chaos. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5164225
NIST. (2023). NIST Cybersecurity Framework 2.0. https://www.nist.gov/cyberframework
OWASP. (2023). OWASP Top Ten Project. https://owasp.org/www-project-top-ten/
Rinehart, A., & Shortridge, A. K. (2021). Chaos Engineering: System Resiliency in Practice. O'Reilly Media.
Russo, M., & Russo, R. (2021). Modern DevSecOps Practices. Manning Publications.
The Docker Team. (2022). Docker Security Best Practices. https://docs.docker.com/security/
Viega, J., & McGraw, G. (2022). Building Secure Software: A Comprehensive Guide to Secure Programming. Addison-Wesley.
Winn, M. (2023). Machine Learning for Cybersecurity: A Comprehensive Review. Journal of Information Security, 14(2), 78-93.
Zalewski, M. (2023). The Tangled Web: A Guide to Securing Modern Web Applications (2nd ed.). No Starch Press.
MANUSCRIPT AUTHORS
Mr. Ramesh Krishna Mahimalur
Elkridge, MD 21075 - United States of America
ramesh.admn@gmail.com


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