AI coding agents make creative, unpredictable mistakes that traditional security tools miss. Threat models, context-rich natural language, are uniquely suited for agents to understand and act on, bridging the gap between security requirements and implementation at unprecedented speed. This talk covers why threat modeling is the ideal security control for AI-generated code, why the coding agent shouldn't threat model itself, and why its historical weaknesses no longer apply.