Cybercrime continues to be an immense threat to financial institutions and their customers. According to Gartner, 50% of online attacks target banks and eCommerce sites. Criminals use extremely sophisticated, ever-adapting tactics to bypass traditional anti-money laundering and fraud solutions. Many financial institutions have been able to gather most of the needed data, but their traditional prevention and detection capabilities are proving to be too slow, too expensive, and generally incapable of analyzing the massive volume of customer, institution, and transaction data stored across various locations, formats, and protocols. The challenge is increasingly problematic due to strict regulatory compliance and growing data complexity.
TigerGraph combats financial crime in real-time by allowing organizations to quickly deploy sophisticated anti-fraud and anti-money laundering capabilities. Using the TigerGraph Native Parallel Graph with real-time DeepLink Analytics, financial institutions can track and monitor each customer’s financial behavior across numerous accounts and to search out non-obvious and distant connections.