AI-Driven Threat Prediction and Mitigation in Cloud-Based DevOps Pipelines
Abstract
DevOps pipelines in cloud environments are vulnerable to code injection, misconfigurations, and insider threats. This paper introduces an AI-driven threat prediction and mitigation framework that analyzes code commits, infrastructure configurations, and deployment logs to identify security risks. Machine learning models are used to predict potential vulnerabilities and recommend corrective actions. The framework integrates with CI/CD (Continuous Integration/Continuous Deployment) pipelines to automate threat mitigation and enforce secure deployment practices. Performance tests demonstrate that the proposed solution reduces vulnerability exposure and improves deployment security. The study highlights the role of AI in securing DevOps processes in cloud environments.
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