<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=2797612&amp;fmt=gif">

Twenty financial institutions are collaborating to identify how machine learning can be used to detect synthetic ID fraud, says Greg Woolf, CEO at the security firm FiVerity.

See Also: Darktrace Immune System: Self-Learning Detection & Response

“The Federal Reserve bank has been trying to educate the community on this and has published three white papers on this type of fraud and has mentioned how machine learning can be used as a potential solution,” Woolf says.

Regulators are also considering issuing regulatory changes as well as devising updated definitions of synthetic ID and money laundering fraud, he adds.

In this video interview with Information Security Media Group, Woolf discusses:

  • How to leverage machine learning to fight synthetic ID fraud;
  • Why the federal government is emphasizing the importance of tracking synthetic ID fraud.
  • Potential changes to regulations.

Woolf is founder and CEO of FiVerity Inc. He has more than 20 years of experience running FinTech companies. He founded the Boston AI Think Tank. He has advised the U.S. Congress on how AI can improve financial crime detection.

You may also like

FiVerity Joins Federal Reserve Synthetic Identity Fraud Focus Group
FiVerity Joins Federal Reserve Synthetic Identity Fraud Focus Group
23 October, 2020

FiVerity CEO Greg Woolf is honored to be selected as an expert in the Federal Reserve’s Synthetic Identity fraud focus g...

FiVerity interviewed by MA Division of Banks For Cyber Fraud Detection
FiVerity interviewed by MA Division of Banks For Cyber Fraud Detection
20 October, 2020

Our CEO Greg Woolf was invited by The Massachusetts Division of Banks for an engaging discussion on Cyber Fraud. Hear Fi...