We are pleased to announce automated sensitive data discovery , a new capability in Amazon Macie that provides continual, cost efficient, organization-wide visibility into where sensitive data resides across your Amazon Simple Storage Service (Amazon S3) estate. With this new capability, Macie automatically and intelligently samples and analyzes objects across your S3 buckets, inspecting them for sensitive data such as personally identifiable information (PII), financial data, and AWS credentials. Macie then builds and continuously maintains an interactive data map of where your sensitive data in S3 resides across all accounts and Regions where you’ve enabled Macie, and provides a sensitivity score for each bucket. Amazon Macie uses multiple automated techniques including resource clustering by attributes such as bucket name, file types, and prefixes to minimize the data scanning needed to uncover sensitive data in your S3 buckets. This helps you continuously identify and remediate data security risks without manual configuration and lowers the cost to monitor for and respond to data security risks.