The emergence of AI agents in cybersecurity is driving a fundamental convergence of cyber training and testing. Organizations can no longer survive on only training individual operators or even machine learning models in isolation. They must test entire agentic workflows in realistic simulations of production environments before allowing them to operate in live systems. This convergence demands a level of environmental realism and scale that only intelligent cyber ranges can provide.