As AI becomes increasingly integrated into software development, optimizing CI/CD pipelines for hybrid and cloud environments requires a balance between automation, security, and governance. This session explores how to leverage DevOps best practices and tools to build scalable, secure, and AI-enhanced CI/CD solutions that support the entire development lifecycle—from code commit to production deployment.

We’ll cover key DevOps principles, recommended tools for automation, testing, and deployment, as well as strategies for integrating AI-driven capabilities to enhance efficiency, detect anomalies, and improve decision-making. Additionally, we’ll discuss how to mitigate AI-related vulnerabilities in the DevOps pipeline, ensuring model integrity, data security, and compliance. Attendees will learn how to implement GitOps, Infrastructure as Code (IaC), and progressive delivery techniques while maintaining control over AI-powered automation. Whether you're incorporating AI into your CI/CD workflows or securing an existing pipeline, this session will provide actionable insights to streamline development while minimizing risks.