Anti-Money Laundering (AML) , Artificial Intelligence & Machine Learning , Fraud Management & Cybercrime

Using Artificial Intelligence to Fight Money Laundering

Colin Whitmore of Aite Group Shares New Research Findings
Colin Whitmore, senior analyst, Aite Group

Colin Whitmore of Aite Group describes new research findings on using artificial intelligence to help detect and prevent money laundering.

See Also: User Entity & Behavior Analytics 101: Strategies to Detect Unusual Security Behaviors

In a video interview with Information Security Media Group, Whitmore discusses:

  • How AI can play a critical role in fraud-fighting;
  • Case studies of financial institutions using AI for battling money laundering;
  • Why regulators are encouraging the use of AI in the fight against fraud.

Whitmore is a senior analyst at research firm Aite Group’s fraud and anti-money laundering practice. He has over 20 years of experience in banking and financial services, working in the United Kingdom with firms including Thompson Reuters, Aviva, Barclays, the Royal Bank of Scotland and HSBC.

About the Author

Nick Holland

Nick Holland

Former Director, Banking and Payments

Holland focused on the intersection of digital banking, payments and security technologies. He has spoken at a variety of conferences and events, including Mobile World Congress, Money2020, Next Bank and SXSW, and has been quoted by The Wall Street Journal, CNN Money, MSNBC, NPR, Forbes, Fortune, BusinessWeek, Time Magazine, The Economist and the Financial Times.

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