generate-preventive

You can automate generating AWS security controls by running a command with specific service arguments to create SCPs, IAM policies, and resource policies from mapping and validation results. This process requires Python to process JSON input and output the policy files.

For compliance automation, you can generate Security Control Policies, resource policies, KMS key policies, permission boundaries, tag policies, OPA policies, and CloudFormation Guard rules to enforce specific controls across your AWS resources.

Yes, you need Python installed to generate preventive security controls for AWS environments. The scripts process JSON input containing mapping and validation results to produce the required security policy artifacts.

To create KMS key policies and permission boundaries, run the generation command and specify the target AWS service. The skill uses your mapping inputs to automatically output the necessary policy artifacts for your security posture management.

Yes, you can include unverified mapping results when generating AWS resource policies by passing the include-unverified argument to the command. This ensures all potential security controls are considered during artifact generation.

The best way to enforce security controls across multiple AWS resources is automating artifact generation from validation results. This approach creates consistent SCPs, IAM policies, and CloudFormation Guard rules to standardize your compliance posture.