VoltDB Introduces New Real-time Predictive Fraud Detection and Prevention Functions

VoltDB, an enterprise-class database that powers mission-critical applications, is introducing a new database function that will enable real-time predictive fraud detection and prevention in its latest platform release.

With User Defined Function (UDF) support for SQL, VoltDB v7.6 enables enterprises to accelerate the identification and prevention of fraud before a transaction is complete.

With UDF, VoltDB now enables financial organizations to deploy new fraud prevention algorithms immediately into the data stream, improving the accuracy, intelligence and effectiveness of fraud detection logic. User Defined Functions within the VoltDB data platform can be updated more quickly and frequently, removing latency when defining fraudulent transactions. 

“The only way to negate the impact of fraud is to catch it before a transaction is processed,” said David Flower, president and CEO of VoltDB. “With User Defined Function, VoltDB is empowering financial organizations across the globe to move to real-time fraud detection with absolutely no latency. By constantly updating fraud logic and deploying it directly into the VoltDB data platform, organizations can become smarter in how they identify and stop fraud, accepting only genuine transactions and stopping fraudulent ones before they happen.”

VoltDB v7.6 enables organizations to use User Defined Functions on Apache Kafka data streams, helping accelerate the impact of new fraud detection algorithms.

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