Trends Report

Artificial Intelligence Is Transforming Fraud Management

Advances In AI Are Reshaping The Fraud Management Landscape

December 10th, 2019
Andras Cser, Vice President, Principal Analyst
Andras Cser Vice President, Principal Analyst
Meng Liu, Senior Analyst
Meng Liu Senior Analyst
Danny Mu, null
Danny Mu
With contributors:
Frederic Giron , Merritt Maxim , Mike Gualtieri , Elsa Pikulik , Bill Nagel

Summary

Artificial intelligence went through a long period of maturation plagued by high rates of false positives and inexplicable decisioning. But AI and machine learning (ML) tools have since become part of leading fraud management solutions. AI also plays an important role in situations where training data for developing risk models is unavailable. Reducing false positives in fraud management use cases is essential to maintaining confidentiality, integrity, and empathy when risk-scoring customer transactions. This report identifies key fraud management use cases where AI can help and maps how security and risk (S&R) professionals can use major AI technologies in each situation.

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