AML WatchDog
The Indian Institute of Science (IISc) and the National Payments Corporation of India (NPCI) have initiated a groundbreaking joint research project to revolutionize the fight against financial crimes in India. This critical initiative leverages cutting-edge Graph and Graph Neural Network (GNN) analytics to detect and prevent money laundering and fraudulent transactions within NPCI's vast network of over 40 crore daily transactions. The collaboration brings together renowned researchers and industry professionals to develop innovative solutions that can identify anomalous sub-graphs and networks contributing to financial crimes with unprecedented speed and accuracy. By harnessing advanced graph algorithms and GNN techniques, this project aims to provide NPCI's Anti-Money Laundering team with cutting-edge tools for near real-time detection of suspicious patterns and relationships within the transaction graph. The outcomes of this research have far-reaching implications for the entire financial sector in India and beyond, setting new benchmarks in the fight against financial crimes. The project's success will strengthen public confidence in digital transactions, support the government's efforts to curb illicit activities, and contribute to the overall economic stability and growth of the nation.
Paritosh Tiwari, Ram Samarth B B
Graph Neural Networks, Anomaly Detection, Temporal Graph Mining, Dynamic Graphs
Financial Transactions (UPI and IMPS Data)
National Payments Corporation of India (NPCI)