As artificial intelligence increasingly integrates into software development, emphasizing security within these practices becomes essential. This proposed talk aims to delve into comprehensive, hands-on strategies for developers and security teams, focusing on effective measures to safeguard applications while leveraging code-generation tools and machine-learning models. Participants will explore an array of actionable techniques to identify and mitigate security vulnerabilities inherent in an AI-driven coding landscape. By fostering a collaborative environment that encourages knowledge sharing between technical and non-technical attendees, this talk will outline a detailed roadmap to enhance security protocols in contemporary development processes.