Learn how to set up Automated IAM User Cleanup on AWS. Our AWS Support team is here to help you with your questions and concerns.

Automated IAM User Cleanup on AWS

Automated IAM User Cleanup on AWS refers to the process of automatically identifying and deactivating or deleting IAM users who are no longer needed or are considered dormant in our AWS environment.

IAM is a service that lets us manage access to AWS resources securely by defining and controlling permissions.

Let’s take a look at how to implement automated IAM user cleanup on AWS:

1. First, we have to determine the criteria that will trigger the deactivation or deletion of IAM users.
2. Then, we have to create an IAM role with the needed permissions for our Lambda function to scan and manage IAM users. We have to make sure that this role has the IAMFullAccess policy attached.
3. Next, it is time to develop a Lambda function that scans IAM users according to our defined cleanup policies. The function should be able to:
   • List IAM users.
   • Check user attributes like the last login date.
   • Deactivate or delete users based on policy criteria.
4. Then, we have to set up a schedule to execute our Lambda function with AWS CloudWatch Events.
5. Additionally, we have to implement the logic for deactivating or deleting IAM users who meet the cleanup criteria.
6. Next, it is time to set up logging within the Lambda function to record the actions taken during the cleanup process. We can use AWS CloudTrail to monitor IAM user activity and Lambda function executions.
7. Furthermore, we can set up a notification system about upcoming deactivation or deletion.
8. Finally, it is time to test the Lambda function and cleanup policies in a non-production environment.

Backup & Recovery Plan

We have to create a plan to recover IAM users and their resources in case of accidental deletion or deactivation. This involves maintaining backups or snapshots.

Furthermore, we have to make sure that our cleanup process aligns with our organization’s compliance and security policies.

Additionally, it is important to monitor the execution of our automated cleanup process. It is also a good idea to document the automated IAM user cleanup process. This will be valuable for auditing and future reference.

After testing and validation, we can deploy our automated IAM user cleanup process in our production AWS environment.

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Conclusion

In brief, our Support Techs demonstrated how to set up Automated IAM User Cleanup on AWS.