GenAI framework, Data: apply personal data laws to generative AI with regulator guidance on consent and exceptions (for example the PDPC Advisory Guidelines on personal data in AI recommendation and decision systems) and consider privacy enhancing technologies; recognise copyright concerns in training data and seek balanced solutions; apply data quality controls such as consistent annotation and data cleaning (debiasing, removing inappropriate content), guard against data poisoning, and support trusted and representative reference datasets.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.