iam-policy-analyzer

To find over-permissive IAM policies and privilege escalation risks, analyze cloud policies to detect wildcard actions, broad resource access, and dangerous assume-role chains. This process flags excessive permissions before they become compliance gaps or security breach paths.

Checking for unused cloud roles and least privilege violations involves reviewing IAM identities with little or no activity and validating their permissions against documented needs. This flags stale roles for removal and ensures policies adhere to least privilege during compliance audits.

You can analyze cross-account trust relationships and pass-role abuse across AWS, GCP, and Azure by reviewing IAM structures for dangerous trust configurations. This traces escalation paths and identifies self-modifying permissions during threat modeling or migration reviews.

Generating a risk-scored IAM findings report with prioritized remediation guidance requires evaluating detected over-privilege and escalation risks, then assigning severity scores. This outputs a prioritized list of actionable recommendations to resolve each specific security finding.

IAM policy analysis works for breach exposure assessments and role migration planning by evaluating existing permissions across AWS, GCP, and Azure. It identifies excessive access and stale identities, providing the necessary risk scoring to safely plan role migrations and reduce attack surfaces.