Faster High-Value Fraud Detection Using Knowledge Graphs

Fighting fraud and other types of financial crime like money laundering presents a constant challenge for companies. Unfortunately, fraudsters are also becoming more sophisticated, which means fraudulent activities are only expected to increase in frequency, speed, and effectiveness. So how can you save your company from the next attack?

Legacy systems based on relational and other types of databases have shown themselves to be inadequate in detecting high-value fraud targets. Not seeing the real suspicious patterns, they often provide false positives, sending fraud analysts on fruitless investigations. And since it can take weeks to comb through data from multiple sources, fraudsters go undetected – until it’s too late. This inadequacy results in billions of dollars of economic loss every year.