Enumerates AWS IAM data, analyzes effective permissions, and visualizes access relationships for cloud security insights.
This tool provides a comprehensive solution for cloud security engineers to understand and manage AWS Identity and Access Management (IAM) risk. It orchestrates the dAWShund project's components to enumerate IAM policies, simulate effective permissions, and summarize access relationships. Designed to integrate seamlessly with AI assistants like Claude Desktop via its Model Context Protocol (MCP) server, it offers fast, easy, and effective insights into complex AWS identity structures, helping identify over-privileged principals and unexpected access.