A team is deploying an AI model in a hybrid cloud environment where some inference happens on-premises and some in a public cloud. Which control ensures consistent security posture across both environments?

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A. A unified security policy enforced through infrastructure-as-code and consistent access control configurations deployed to both on-premises and cloud inference endpoints. In hybrid environments, consistency requires applying the same security policies across all deployment surfaces. Infrastructure-as-code enables repeatable, auditable configuration across environments. The SecAI+ objectives explicitly cover securing AI deployment environments across on-premises, cloud, and hybrid infrastructures. Different configurations create inconsistent posture and coverage gaps. Disabling logging removes visibility. Unauthenticated endpoints expose the model.

A team is deploying an AI model in a hybrid cloud environment where some inference happens on-premises and some in a public cloud. Which control ensures consistent security posture across both environments?

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