You are training a batch transformation job in Amazon SageMaker. You have protected data at rest by using AWS KMS key on S3. Amazon SageMaker ensures that machine learning (ML) model artifacts and other system artifacts are encrypted in transit and at rest. What measures would you take to make sure that the data is protected in-transit even for inter-node training communications?