The Use of Artificial Intelligence in CI/CD Systems: Enhancing Security and Managing Risks

Organizations in the public and private sectors increasingly implement Continuous Integration (CI) and Continuous Deployment (CD) processes to streamline software delivery. These processes, supported by automation and DevOps practices, enable frequent code releases. However, the rise of adversarial threats—such as AI-enhanced social engineering, adversarial machine learning, and large-scale data leaks—introduces complex security challenges.

This article explores the integration of Artificial Intelligence (AI) and Machine Learning (ML) into CI/CD pipelines, highlighting how these technologies enhance security posture through real-time threat detection, automated incident response, and predictive analytics. Key areas include Explainable AI (XAI), Federated Learning (FL), adversarial attack prevention, and AI-powered malware detection. The study further discusses visualization techniques for security monitoring (ROC curves, histograms, pie charts), supported by 2024 statistical insights into AI adoption in CI/CD environments.