Fraud Management & Cybercrime

Improving Fraud Prevention: Key Steps

Kedar Samant of Simility on Leveraging Machine Learning, Data Analytics
Kedar Samant, CTO, Simility

Machine learning and data analytics are both critical to fraud prevention, says Kedar Samant, CTO of Simility.

See Also: Live Discussion | Securing Business Growth: The Road to 24/7 Threat Detection and Response

In a video interview at RSA Conference 2018, Samant discusses:

  • Adaptive fraud responses;
  • New fraud schemes in mobile check deposit;
  • The role of data visualization in expanding fraud analyst capabilities.

Samant is co-founder and CTO of Simility, which offers an end-to-end enterprise fraud management SaaS platform. He formerly held positions at Google, Blueberry Software and Saba.

About the Author

Nick Holland

Nick Holland

Director, Banking and Payments

Holland, an experienced security analyst, has spent the last decade focusing 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. He holds an MSc degree in information systems management from the University of Stirling, Scotland.

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