AI agents can access information, interpret relationships, and generate decisions, but does that mean they have the authority to use the information? As organizations adopt agentic AI, the distinction between semantic understanding and governing authority is becoming an increasingly important consideration for trustworthy, data-centric architectures.

Adding APIs, adapters, and integration layers to legacy defense simulations doesn't automatically make them data-centric. When data assumptions remain embedded in platform architectures, modernization can preserve the very interoperability problems it was intended to solve.