Security graphs are advanced data models that map complex relationships between users, roles, permissions, policies, and resources in cloud environments, offering a dynamic and interactive way to visualize and manage access and security risks. Unlike traditional databases, these graphs enable efficient analysis of indirect access paths and privilege escalation scenarios, thanks to their ability to handle many-to-many relationships and rapidly changing data. FalkorDB is a graph database optimized for this purpose, utilizing a sparse-matrix engine and linear algebra operations to deliver high-speed, real-time query performance and support for complex graph analytics. It allows organizations to perform entitlement audits, threat detection, and lateral movement analysis efficiently, thereby enhancing their security posture by making it easier to identify over-permissions and potential attack vectors. By using graph databases like FalkorDB, security teams can move beyond static IAM dashboards to create a living map of their security landscape, which facilitates proactive risk management and compliance.