Graph Analysis in AML/CFT involves the visualization and analysis of financial data in the form of graphs or networks. This technique is particularly effective in identifying and illustrating the flow of funds between accounts and entities, making it easier to detect and investigate money laundering and terrorist financing activities. By mapping these relationships, graph analysis provides a clear visual representation of complex financial interactions, crucial for understanding and dismantling sophisticated laundering networks.
Graph Analysis in AML/CFT involves visualizing and analyzing financial data as networks or graphs.
This technique is particularly effective in mapping and understanding the flow of funds between accounts and entities.
By providing a visual representation of these relationships, graph analysis aids in the detection and investigation of complex money laundering and terrorist financing activities, offering a clear and comprehensive view of financial interactions.
- Fund Flow Analysis: Tracking and visualizing the flow of funds to identify patterns indicative of money laundering.
- Entity Relationship Mapping: Creating visual representations of relationships between entities to identify potential collusion or laundering networks.
- Suspicious Activity Detection: Using graph-based analysis to detect unusual patterns in the network structure or transaction flows that could suggest illicit activities.