Security hardening DevSecOps pipelines to improve containerized AI workloads

Authors

  • Robert Clark Professor of AI, University of Central Lancashire, Preston, UK Author

Keywords:

Containerized AI, Security Hardening, DevSecOps, CI/CD Pipelines

Abstract

Containerized application and artificial intelligence workload are growing in popularity because it helped tremendously in software development and its operations. But  the security of this containerized artificial intelligence system is a very big problem especially in DevSecOps architecture in which real time security interact with continuous integration and continuous delivery pipeline. The aim of this paper is to explore the real time security methods which are added into DevSecOps pipeline to enhance the security of containerized AI workloads.

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Published

19-01-2022

How to Cite

[1]
Robert Clark, “Security hardening DevSecOps pipelines to improve containerized AI workloads”, Newark J. Hum. Centric AI Robot Inter., vol. 2, pp. 1–6, Jan. 2022, Accessed: Feb. 16, 2026. [Online]. Available: https://njhcair.org/index.php/publication/article/view/3