How to perform a proof of concept for automated discovery using Amazon Macie

This article provides a step-by-step guide on how to perform a proof of concept (POC) for automated sensitive data discovery using Amazon Macie.

Specifically, the article covers:

• Data security business challenges and why organizations need automated sensitive data discovery
• Key features of Amazon Macie for sensitive data discovery
• Overview of the POC steps, including reviewing managed data identifiers, defining custom identifiers, staging data, running discovery jobs, and enabling automated discovery
• How to review and investigate sensitive data findings from Macie
• Next steps after the POC, such as operationalizing Macie output, storing discovery results, and defining the scope for Macie usage
• Conclusion on how the POC can help determine if Macie meets an organization's sensitive data discovery needs