Security-First DevOps: Integrating AI for Real-Time Threat Detection in CI/CD Pipelines

Abstract

Security vulnerabilities in DevOps pipelines, particularly within cloud environments, pose significant risks. This paper introduces an AI-driven security framework that integrates real-time threat detection into Continuous Integration/Continuous Deployment (CI/CD) pipelines. This framework proactively mitigates security risks associated with code deployment by leveraging machine learning models trained on historical data. The system identifies and flags potential threats before they impact production environments, thereby bolstering the overall resilience of DevOps processes. This proactive approach minimizes the potential for security breaches and ensures faster remediation, contributing to a more secure and efficient software development lifecycle. The AI component continuously learns and adapts to evolving threat landscapes, providing dynamic and robust security. This paper details the framework's architecture, implementation, and evaluation, demonstrating its effectiveness in enhancing the security posture of DevOps in the cloud