Whether the system meets its objectives, its requirements, the acceptance metrics set in advance and the regulatory guidelines is evaluated through internal auditing before moving to pre-deployment, and feedback, test results and monitoring insights drive iterative improvement of models, data and controls throughout the lifecycle.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.