Memgraph, an in-memory graph database, significantly enhances the performance and security of Identity and Access Management (IAM) systems by allowing real-time analysis of complex relationships between users, services, and devices. Unlike traditional IAM systems that rely on rigid hierarchies, Memgraph's graph-based approach naturally models these relationships, enabling efficient data exploration without the need for SQL JOIN operations. Its in-memory storage ensures minimal response times by eliminating the need to access data from disks, with data persistence maintained through snapshots and write-ahead logs. Memgraph's integration with dynamic algorithms and triggers allows for immediate detection and analysis of vulnerabilities, offering procedural responses like revoking access rights or alerting administrators. Additionally, its flexibility is expanded by allowing custom algorithms to be written in C++, Python, or Rust, catering to specific business needs. With its capability to process real-time streaming data, Memgraph connects seamlessly with Kafka or Redpanda streams, ensuring that security checks are performed instantaneously, making it a robust choice for organizations seeking to enhance the performance and security of their IAM systems.