Detecting malicious online activities using event stream processing over a graph database

Techniques of detecting malicious events involve generating a relational graph of event data describing events that occur within a specified, limited time window. Along these lines, a malicious event detection computer receives event data describing interactions between entities such as users, devices, and network domains from various servers that occur within a specified time window. In response, the malicious event detection computer generates a relational graph that has graph structures (e.g., nodes and edges) representing these interactions. Analysis of patterns within the resulting relational graph indicates whether there is a malicious event occurring.