Machine Learning's Role in Fighting FraudGleb Esman of Splunk on Finding Anomalies
Machine learning plays a key role in fraud detection by helping with pinpointing anomalies, says Gleb Esman of Splunk.
See Also: What is next-generation AML?
In a video interview at Information Security Media Group's recent Chicago Fraud and Breach Prevention Summit, Esman discusses:
- What classes of data are useful in detecting fraud;
- Why combining all available data is essential to fighting fraud;
- What role machine learning plays.
Esman is senior product manager, fraud analytics and research, at Splunk.