Cyber attacks are getting smarter every year, yet most security checks still happen late in the project, when fixes are hardest and costliest. To change that, we propose FreeCAT, a step-by-step “security copilot” that works from the first design sketch all the way to day-to-day operation. FreeCAT automatically turns models, documentation, and log files into easy-to-read threat maps that show which parts of a system hackers would target first. It then runs simulations to test different defenses, points human testers to the riskiest spots, and feeds every new finding back into the map so the picture stays up to date. An AI component speeds up chores such as writing audit reports or checking compliance rules. Because these activities repeat in short loops throughout development and after launch, organizations can spot weak points early, use security budgets where they matter most, and keep pace with new attack tactics without hiring an army of specialists. The current paper outlines the concept and planned building blocks; the full platform will be assembled and validated in future work.