An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data.
How should the AI practitioner prevent responses based on confidential data?

Question

An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data.

How should the AI practitioner prevent responses based on confidential data?

Martin White · Accepted Answer

Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.

Martin White · Answer

Mask the confidential data in the inference responses by using dynamic data masking.

Martin White · Answer

Encrypt the confidential data in the inference responses by using Amazon SageMaker.

Martin White · Answer

Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).

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