evidence-artifact-collector

Automating cloud audit evidence collection is achieved by running Python and shell scripts that query infrastructure across AWS, Azure, GCP, and Kubernetes. The scripts execute automatically to gather configuration data and generate formatted compliance reports.

Generating a Bash script to verify AWS MFA settings for the root user is a supported quick start use case. The Skill produces executable shell scripts that check root user configurations and output the results for compliance review.

Supported output formats for compliance reports include Python, Bash, JSON, Markdown, and PDF. These formats allow flexible generation of both raw data files for troubleshooting and structured documents for audit submission.

Yes, the evidence collection automation works with Terraform alongside AWS, Azure, GCP, and Kubernetes. It gathers audit evidence from these infrastructure platforms to streamline compliance assessment and troubleshooting processes.

The best way to check encryption compliance on Azure storage accounts is to use the Skill to generate an instant verification script. It runs the checks automatically and produces a formatted report suitable for direct audit submission.

Manual cloud infrastructure auditing is laborious, error-prone, and delays compliance processes. Automating the collection of evidence across providers saves time and reduces manual effort, ensuring faster assessment cycles.