The privacy framework runs as business as usual with metrics showing how its controls meet its objectives: clear collection and intent-of-use notices throughout the lifecycle with consent aligned to regulation and withdrawable; processes for discovering, classifying and inventorying personal data, continually improved; privacy enhancing technologies and security controls in every data environment, enhanced to automate preventive controls; traceability, lineage and audit that evidence usage and provenance of personal data against each data subject's preferences; clear, automated where possible, processes for receiving and answering data subject requests and regulator inquiries, including requests spanning jurisdictions; and a privacy-by-design culture across platforms, domains and modernization work. Controllers and processors agree responsibility boundaries, a record of processing activities gives every use case a legal basis, and re-identification risk assessments are organized by jurisdiction.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.