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Optimizing CI/CD Security with RL by International Journal of Innovative Science and Research Technology is a document available to read on EtoBox.
What is Optimizing CI/CD Security with RL about?
This study proposes a reinforcement learning (RL) approach to optimize cybersecurity risk modeling and testing in Continuous Integration/Continuous Deployment (CI/CD) pipelines, addressing the vulnerabilities that arise from traditional static security models. By leveraging real-time threat intelligence and dynamic test selection, the RL system aims to enhance vulnerability detection and reduce resource allocation in software development processes. Empirical results indicate improved detection rates and ris
- Author
- International Journal of Innovative Science and Research Technology
- Language
- EN