Synthetic data generation produces artificial datasets that preserve statistical properties of the original data without containing real personal data, supporting model training and testing while reducing personal-data exposure; quality and re-identification risk must be assessed.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.