Data masking and granular access control using Amazon Macie and AWS Lake Formation
Security Blog
This article discusses a solution for data masking and granular access control using Amazon Macie and AWS Lake Formation. It covers anonymizing sensitive data and enforcing fine-grained access permissions.
Specifically, the article covers:
- Solution overview and architecture
- Using Macie to identify sensitive data in S3
- Data masking and encryption with AWS Glue
- Granting granular access with Lake Formation and tagging
- Testing access for different user personas
- Cleaning up deployed resources
The solution allows identifying and anonymizing sensitive data like personally identifiable information (PII) stored in S3, while still allowing applications like ML training to access the original data through encryption keys. Lake Formation enables configuring fine-grained access permissions using tags on databases, tables and columns.
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