Cyberfraud is an immense threat for e-commerce, financial institutions, and their customers. According to Gartner, 50% of online attacks target banks and eCommerce sites. From retailers small and large, to telecom and e-service providers, to financial institutions themselves, every type of business is targeted for fraud, with criminal methods tailored to each type of business. Criminals use extremely sophisticated, ever-adapting tactics to bypass traditional anti-fraud solutions. Many enterprises have access to the data that could reveal the illicit activity, 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 capabilities and to evaluate proposed transactions before they are authorized. Using the TigerGraph Native Parallel Graph with real-time Deep Link Analytics, enterprises can track and monitor each customer’s transactional behavior across numerous accounts and search out non-obvious and distant connections and patterns. Download the Anti-Money Laundering solution brief to learn more.