Artificial Intelligence & Machine Learning , Fraud Management & Cybercrime , Next-Generation Technologies & Secure Development

Machine Learning's Role in Fighting Fraud

Gleb Esman of Splunk on Finding Anomalies
Gleb Esman, senior product manager, fraud analytics and research, Splunk

Machine learning plays a key role in fraud detection by helping with pinpointing anomalies, says Gleb Esman of Splunk.

See Also: User Entity & Behavior Analytics 101: Strategies to Detect Unusual Security Behaviors

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.

About the Author

Nick Holland

Nick Holland

Former Director, Banking and Payments

Holland focused on the intersection of digital banking, payments and security technologies. He has spoken at a variety of conferences and events, including Mobile World Congress, Money2020, Next Bank and SXSW, and has been quoted by The Wall Street Journal, CNN Money, MSNBC, NPR, Forbes, Fortune, BusinessWeek, Time Magazine, The Economist and the Financial Times.

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