Graph-based storage architectures offer significant advantages for scaling cloud security solutions, particularly in handling complex, interconnected security data and performance constraints that traditional relational databases struggle with. These architectures naturally represent the interconnected nature of security incidents across various domains, enabling faster detection and analysis through efficient graph traversal methods. They allow for flexible data modeling without the need for rigid schemas, which is vital for adapting to evolving security datasets without downtime. FalkorDB, a graph database, exemplifies these benefits by providing superior performance metrics, such as 496 times faster query speeds under load compared to some competitors, and supporting efficient multi-tenancy without data commingling. Additionally, its design reduces infrastructure costs and enhances threat detection capabilities by providing comprehensive context resolution. Guy Korland, CEO of FalkorDB, emphasizes its capacity for real-time threat modeling and managing complex security workloads, drawing from his extensive experience in database architecture and engineering.