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

How Machine Learning Transforms Fraud Management

First Data's Jaclyn Blumenfeld on Practical Use Cases for Emerging Technologies
Jaclyn Blumenfeld, director, intelligence services, global cybersecurity and fraud, First Data

Artificial intelligence and machine learning get all the marketing buzz, but FirstData's Jaclyn Blumenfeld cites examples of use cases where these emerging technologies are actually transforming security and fraud management.

See Also: Fraud Prevention for Banks: Top 10 Tech Requirements to Evaluate

In a video interview at Information Security Media Group's recent Legal & Compliance Summit in New York, Blumenfeld discusses:

  • The rise of ecommerce breaches and fraud;
  • How to fight fraud perpetrated with legitimate credentials;
  • The power of artificial intelligence and machine learning to help detect and prevent fraud.

Blumenfeld is director of intelligence services, global cybersecurity and fraud, at First Data. Her career in security began at a young age, dodging rockets on the border between Israel and Lebanon during the 2006 war. This encounter paved the way for her career in intelligence analysis, where she spent several years covering Middle East and security issues in the intelligence community and the private sector before joining the tech industry. In 2016, Blumenfeld joined First Data after working at FireEye.


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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