The correct answer is Google's Secure AI Framework SAIF. It is the only option that is purpose built to guide organizations on AI security governance and risk control across the lifecycle and it supports alignment with industry standards and regulatory requirements across regions.

This framework provides actionable security controls for data, models and applications through the entire AI lifecycle from design and development to deployment and ongoing operations. It gives organizations a unified governance approach so multiple business units can follow consistent policies while meeting regional compliance needs.

Assured Workloads focuses on enforcing data residency and compliance constraints for regulated workloads rather than providing an AI specific governance and risk framework across the model lifecycle.

Vertex AI Model Garden is a catalog to discover and use models and tools and it does not deliver organization wide governance guidance or risk management controls.

Google Cloud AI optimized infrastructure TPUs and GPUs refers to compute hardware for training and inference and it is not a governance or risk management framework.

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