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How to Maximize Data Used to Fight Fraud

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

How to Maximize Data Used to Fight Fraud Splunk's Jim Apger on Streamlining Omni-Channel Defenses Tom Field (SecurityEditor) • December 14, 2018 Jim Apger, senior security architect, Splunk

The data being used to drive effective anti-fraud efforts can be rich in context and useful for other activities. Jim Apger of Splunk describes emerging fraud schemes and solutions, highlighting the role of machine learning.

See Also: Live Webinar | Levers of Human Deception: The Science and Methodology Behind Social Engineering

In a video interview at Information Security Media Group's recent Breach Prevention Summit: Washington, Apger discusses:

How to maximize data from anti-fraud efforts; Machine learning's emerging role; Advice for streamlining anti-fraud efforts across channels.

Apger, a senior security architect at Splunk, is a member of...(continued)

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