Macie accuracy V comprehend

While there are no specific statistics provided on the accuracy of Amazon Macie for detecting PII in the given sources, it's important to note that Macie uses managed data identifiers to detect various types of sensitive data, including personally identifiable information (PII). Macie's capabilities are extensive, with over 100 managed data identifiers designed to protect sensitive data at scale.

Macie uses these managed data identifiers to automatically and intelligently sample and analyze objects across S3 buckets, inspecting them for sensitive data such as PII, financial data, and AWS credentials. The service provides continual, cost-efficient, organization-wide visibility into where sensitive data resides across your Amazon S3 estate.

In contrast, Amazon Comprehend, another AWS service, also offers PII detection capabilities. Comprehend can detect and locate various types of PII entities in English or Spanish text documents, including names, addresses, credit card numbers, and government-issued ID numbers.

While both services offer PII detection, they serve different purposes. Macie is specifically designed for discovering sensitive data in S3 buckets, while Comprehend is a more general natural language processing service that includes PII detection among its features.

Without specific accuracy statistics, it's difficult to make a direct comparison between Macie and Comprehend in terms of PII detection accuracy. The choice between the two would depend on the specific use case, the type of data being analyzed, and the broader requirements of the task at hand.
Sources
Managed data identifiers for PII - Amazon Macie
Amazon Macie adds support for discovering more types of sensitive data
Detecting PII entities - Amazon Comprehend