Detect PII data in Amazon Aurora with Amazon Comprehend
Database Blog
This article discusses how to build a mechanism to automatically detect personally identifiable information (PII) in an Amazon Aurora MySQL database by integrating with Amazon Comprehend and Amazon SNS.
Specifically, the article covers:
- Solution overview and architecture
- Prerequisites for setting up the PII detection mechanism
- Step-by-step instructions for:
- Creating a table and columns in the Aurora database
- Creating an SNS topic for notifications
- Creating a Lambda function to detect PII using Amazon Comprehend
- Configuring Aurora to invoke the Lambda function (triggers, events, etc.)
- Testing the PII detection mechanism
- Cleaning up the resources created
- Conclusion
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Jan 12
2024
2024
Detect, mask, and redact PII data using AWS Glue before loading into Amazon OpenSearch Service
Feb 9
2024
2024
Improve the performance of generative AI workloads on Amazon Aurora with Optimized Reads and pgvector
Jul 30
2024
2024
Monitoring Amazon Aurora databases with IBM Guardium
Jun 25
2024
2024
Amazon Aurora now provides additional monitoring information during upgrades
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.