Which AWS service uses NLP to classify sensitive data stored in AWS?

Amazon Macie is specifically designed to help identify and classify sensitive data within AWS environments, such as personally identifiable information (PII) and intellectual property. It utilizes machine learning and natural language processing (NLP) to automatically discover and classify data stored in services like Amazon S3, helping organizations enforce data security policies and manage compliance requirements effectively.

By leveraging NLP, Amazon Macie can analyze the content of the stored data and identify potential security risks, allowing businesses to take proactive measures to protect sensitive information. This capability is essential for organizations that need to comply with regulatory standards and ensure that sensitive data is handled appropriately.

The other options, while valuable AWS services, focus on different functionalities. For instance, Amazon Transcribe provides speech-to-text capabilities, Amazon Comprehend is primarily used for text analysis and sentiment detection, and AWS Lambda is a serverless compute service that executes code in response to certain triggers, rather than specifically focusing on data classification.