The software development industry is undergoing a significant shift driven by artificial intelligence, with AI-powered coding tools rapidly integrating into developer workflows. This shift brings opportunities for innovation but also introduces new types of risk, including security flaws in AI-generated code and dynamic systems that are harder to secure with traditional tools. To address these challenges, organizations need an AI TrustOps readiness model to build and secure software in the age of AI. This approach recognizes that developers are collaborating with AI assistants, integrating models, and deploying agents that make decisions on their own, and offers a structured, practical way to think ahead and build security and trust into AI-driven development without slowing innovation down. The framework identifies five key areas of focus, including governance, secure design, risk assurance, and culture, and explains why mature DevSecOps practices are essential before starting.