Aaia is a visualization tool that maps AWS IAM and Organizations data into a graph format using Neo4j database technology. The tool enables security professionals to identify outliers and anomalies within AWS identity and access management configurations through visual graph representation. The platform supports Cypher query language for conducting anomaly detection and security analysis across AWS environments. Users can execute custom queries to examine relationships between IAM entities, organizational units, and access patterns. Aaia includes modular architecture that allows for custom data processing and analysis workflows. The tool processes AWS IAM policies, roles, users, and organizational structures to create comprehensive relationship mappings. The tool was originally developed for privilege escalation enumeration and AWS IAM vulnerability discovery, following the principle that security analysis benefits from graph-based thinking. It helps security teams understand complex AWS permission structures and identify potential security risks through relationship analysis. The graph-based approach enables users to trace access paths, identify over-privileged accounts, and discover potential attack vectors within AWS environments. The Neo4j integration provides scalable graph database capabilities for handling large AWS deployments.