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Discover sensitive data present in S3 bucket using Amazon Macie

Lab Details

  1. This lab walks you through the steps to create and configure an Amazon Macie job to discover sensitive data.

  2. You will practice using a custom data identifier where you will write a regular expression that matches the pattern of data present in the S3 bucket.

  3. Duration: 60 minutes

  4. AWS Region: US East (N. Virginia) us-east-1

Introduction

What is Amazon Macie ?

  • Amazon Macie uses pattern matching and machine learning to protect the sensitive data stored in S3 buckets.

  • It detects a list of data types including PII (Personally identifiable information) such as names, addresses, credit card numbers, etc.

  • Along with detecting data, it gives you complete visibility of your S3 buckets and its information like publicly accessible buckets, unencrypted buckets, and buckets shared with other accounts.

  • To get started with Amazon Macie, you can use its free trial of 30 days for bucket evaluation.

  • The free trial does not include the discovery of sensitive data present in S3 buckets.

Architecture Diagram

Task Details

  1. Launching Lab Environment.

  2. Enable Macie for the account.

  3. Create a Macie job.

  4. Macie job run and findings.

  5. Validation of the lab.