What problem does it solve?
Cloud environments accumulate misconfigurations—public S3 buckets, over-permissive IAM roles, unencrypted storage, missing network controls—that traditional vulnerability scanners do not detect. This Skill provides a complete workflow for continuously detecting these cloud-native risks across AWS, Azure, and GCP.
Core Features & Use Cases
- AWS Security Hub: Enable Security Hub with standards like CIS AWS Foundations Benchmark and AWS Foundational Security Best Practices, and query critical findings via CLI.
- Azure Defender for Cloud: Enable Defender CSPM, check secure scores, and list unhealthy security assessments and active alerts.
- Open-Source Scanning: Run Prowler and ScoutSuite against AWS, Azure, and GCP with compliance frameworks like CIS and PCI DSS.
- Multi-Cloud Aggregation: Use the included Python code to merge Prowler findings from multiple providers into a single posture report grouped by severity, provider, and service.
- Use Case: A security engineer needs org-wide visibility into cloud misconfigurations before a compliance audit. They run Prowler across all AWS regions and Azure subscriptions, aggregate the JSON-OCSF findings, and generate a posture report prioritizing critical issues.
Quick Start
Ask the AI to run a Prowler scan against your AWS account with the CIS benchmark and summarize the critical misconfigurations found.