For as long as hospitals have been asked to trust artificial intelligence with patient care, a quiet dilemma has persisted: genuine validation requires real patient data, yet real patient data cannot be freely shared. Google Cloud and MLCommons have now built a third way — a platform called MedPerf, running on confidential computing infrastructure, where medical AI models can be tested against authentic clinical datasets without any party, including the cloud provider itself, ever seeing what flows through the evaluation. It is an attempt to reconcile the competing obligations of privacy, scie