Getting Started with Amazon Macie

CREATE A MACIE JOB

  1. Click Create job button. Create job

  2. Select the S3 bucket named maciehandsondemo193, click Next. Select bucket

  3. Click Next. Review bucket

  4. At this step (Refine the scope), there are two options. In this lab, you choose One-time job. But in your real life, maybe you will select Scheduled job.

Refine the scope Expand Additional settings:

  • Choose File name extensions
  • Type csv
  • Then click the Include button Scroll down and click Next. Refine the scope - Additional settings

  1. Click Next. Select managed data indentifiers

  2. We have to create a custom identifier. Remember, the Employee ID is treated as PII information.

  • Click Manage custom identifiers. Your browser will open new tab.

managed custom indentifiers

  • At this new tab, click the Create button and input:
    • Name: EmpID
    • Regular expression: [a-z]{2}-[0-9]{4}

Then click Submit.

create custom data indentifiers

new custom data indentifiers

  1. Back to Macie’s console, select EmpID and click Next.

select custom data indentifiers

  1. Click Next. select allow lists

  2. Name and description

  • Job name: EmpID
  • Then click Next.

enter general settings

  1. Click Submit. submit

  2. The EmpID Job will be running. Will take some time so run has started, takes about a few minutes (7-10 min).

job running

Our job has just compleled and it took about 10 min.

Ok now let us look at its findings. Click on Show results and then click Show findings Our browser will open a new tab. show findings

In the new tab, select the result, click Export to JSON. export JSON

You will be able to see it right here. Click Download if you want.

download

  1. After reviewing the findings, you can take appropriate action on the csv file data (pii.csv).

CANCEL MACIE JOB

You select the EmpID Job, click Actions and then click Cancel. cancel job