A medical company wants to prevent a Bedrock-deployed disease detection model from returning personal patient information and also receive notifications when policy violations occur. Which solution satisfies both requirements?
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Correct answer: Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms for notification of policy violations..
Why this is the answer
Guardrails for Amazon Bedrock are specifically designed to enforce policies and filter unwanted content from Bedrock model inputs and outputs, directly addressing the requirement to prevent the model from returning personal patient information. They can detect and redact sensitive data. Integrating with Amazon CloudWatch allows for real-time monitoring of guardrail logs and the creation of alarms for policy violations, fulfilling the notification requirement. Amazon Macie is for discovering sensitive data in S3 and other data stores, not for real-time model output filtering. AWS CloudTrail monitors API activity, not the content of model responses. Amazon SageMaker Model Monitor focuses on model quality and data drift, not content filtering or policy enforcement for generative AI models.
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