Within the ISACA Advanced in AI Risk framework, governance decisions should align AI use with policy, accountability, stakeholder expectations, risk appetite, and applicable legal or ethical obligations. Using patient information for personalized AI treatment profiles without consent or another valid authorization creates significant privacy, legal, ethical, and trust exposure. SSO and synthetic-data use do not address this fundamental lawful-processing requirement. This makes option D, There is no consent for the organization to use the patients ' information, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.