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
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.

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 the firm's global security specialists team. His digital hardware and software background paved a path for him to spend nearly 10 years in the network intrusion prevention space. Previously, Apger worked in the fields of web fraud detection, anti-money laundering, security information/event management, security operations and cyber threat intelligence.


About the Author

Tom Field

Tom Field

Senior Vice President, Editorial, ISMG

Field is responsible for all of ISMG's 28 global media properties and its team of journalists. He also helped to develop and lead ISMG's award-winning summit series that has brought together security practitioners and industry influencers from around the world, as well as ISMG's series of exclusive executive roundtables.




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