Customer emails uploaded to S3 may contain sensitive data. The company wants automated alerts whenever sensitive information is detected with minimal development effort. Which solution best fits this need?

Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover, classify, and protect sensitive data in AWS. It automatically detects sensitive data in S3 buckets, such as personally identifiable information (PII), and generates alerts, making it the most suitable and minimal-effort solution for this requirement. Using Amazon SageMaker endpoints with an LLM for redaction is an over-engineered solution for detection and requires significant development effort. Developing multiple regex patterns on a SageMaker notebook also demands substantial development and maintenance. Asking customers to avoid sharing sensitive information is not a technical solution and does not address the need for automated detection and alerts.