Before deploying high-impact AI an agency develops pre-deployment tests and risk mitigation plans built around the outcomes and benefits expected in real use; where it lacks the source code, models or data it tests by alternative means such as querying the service and observing outputs or giving the vendor evaluation data and obtaining the results.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.