Before using an existing AI model or any acquired AI component (training, test, fine-tuning and alignment datasets, reward models, adaptation layers, configuration parameters), the organisation verifies its integrity, provenance and security, and scans and thoroughly tests acquired models and components for vulnerabilities and malicious content.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.