As enterprises become increasingly digital, fraud and financial crime have become more sophisticated and pervasive resulting in the loss of billions of dollars every year. Fraudsters are spreading their activities across a large number of transactions and geographical regions, making traditional anomaly identification solutions, which focus only on discrete data points, nearly ineffective.
To stop fraud in the moment or even before it happens, enterprises today need a data layer capable of processing high volumes of streaming data and analyzing relationships between massive amounts of transactions in real time. Furthermore, the data layer should have built-in enterprise-class security to prevent identity theft and safeguard customer data.
Join us to learn how DataStax Enterprise, an always-on data layer with graph capabilities, is helping some of the world’s top brands, including 9 of the top 15 global banks, combat and prevent fraud in real time.