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Your organization is deploying a machine learning (ML) application that transmits encrypted financial datasets between Amazon SageMaker and a private analytics application hosted on Amazon EC2. The datasets contain highly confidential information and must not traverse the public internet to meet internal data residency and regulatory compliance requirements. As the AI practitioner, which AWS-native mechanism is best suited to ensure secure, private, and compliant data transmission in transit between services across VPCs?