Graph by Persona uncovers and blocks large-scale fraud, from promo abuse to money laundering to duplicate accounts. It enables expert-level investigations by connecting risky accounts with link analysis and combining user data with Persona’s risk signals to surface connections between user accounts. Graph investigates fraud clusters, searches for patterns or anomalies within automatically generated clusters, and identifies hidden risky behavior to uncover fraud rings. It acts on insights to block fraudsters with automated decisioning and triggers follow-up actions. Graph captures more fraud by uncovering the reach of fraud rings and finding linked accounts using Persona-collected or imported data. It alerts teams via the dashboard, Slack, or email for real-time investigation of complex attacks. Graph runs complex queries across millions of nodes in less than 3 seconds, stopping fraud incidents before they happen. It builds automated queries and workflows to proactively block repeat fraudsters and continuously adapts fraud strategies by identifying and adding confirmed fraud signals to blocklists in one click. Graph empowers expert-level investigations with custom properties, imports data, and creates link analysis models for relevant properties such as crypto wallet addresses and credit card numbers. It builds configurable queries to set connection degrees, node limits, and matching logic. Snapshots save and compare historical query results to understand fraud cluster trends over time. Flexible exporting allows exporting insights, such as the cluster view or accounts with fraud tags. Graph shifts from reactive to proactive measures by blocking fraud incidents before they occur with automated decisioning.
