This guide presents a four-step framework for evolving DevSecOps practices to keep pace with rapid AI-driven software development. It emphasizes shifting security left by integrating secure coding practices directly into developer environments through IDE-based tools and real-time feedback. It also highlights the need to automate and integrate security testing into CI/CD pipelines using tools like SAST, DAST, and SCA to handle increased code volume and speed. The guide stresses fostering a security-first mindset through training and reducing blind trust in AI-generated code. Finally, it recommends policy-driven, centralized security controls to ensure consistent enforcement, scalability, and visibility across development pipelines.

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