About the Module
The RAALS Link Analysis module transforms complex datasets into interactive visual networks, revealing relationships between individuals, accounts, transactions, and other entities.
By mapping and analyzing these connections, it helps investigators identify hidden relationships, uncover organized schemes, and detect potential fraud or collusion across multiple data sources.
This powerful visualization tool enables a deeper understanding of how entities interact within a network — helping organizations move beyond isolated data points to a connected, contextual view of risks.
With dynamic filters, clustering, and AI-assisted insights, RAALS Link Analysis delivers faster, clearer, and more accurate investigations.
Key Features
Advanced visualization: Intuitive, interactive network graphs for exploring connections and dependencies.
Hidden network discovery: Detects previously unseen links among entities, transactions, and events.
Support for complex investigations: Simplifies large-scale data analysis through dynamic relationship mapping.
Real-time insights: Quickly identify suspicious clusters and patterns within connected data.
Seamless integration: Works directly with other RAALS modules (Cases, Alerts, RIF, and KFI) for enriched context.