Season 2, Episode 3 of Money Travels presented by Visa.
#VisaDirect #MoneyMovement #MoneyTravels
Fast money movement requires fast security. As money moves more and more quickly, the technical challenges to secure the transactions grow for all parties involved. We have to predict behavior and aim to stop fraud before it happens, often with the help of AI, but you need a pretty big data set to make accurate predictions and to track trends in fraud behavior. That's where Visa Direct's network can come in and its long history of transactions coupled with decades of developing AI tools that can check, monitor, and protect money movement.
To get a sense of how AI is used today in money movement, we're going to talk to Michael Jabbara, Vice President, Global Head of Fraud Services at Visa, Dr. Anjana Susarla, who's a professor of responsible AI at Michigan State University, and Clara Durodié, an AI strategy specialist and author of Decoding AI in Financial Services. But first, we hear from Tendai Marambire an ethical security hacker that conducts baseline testing for Visa Direct transactions and along with her team, she continuously tests new components and new scenarios as new fraud schemes are discovered in the wild.
Learn more about Visa Direct:
https://corporate.visa.com/en/products/visa-direct/money-travels.html
Connect with Visa Direct on LinkedIn:
https://www.linkedin.com/showcase/visa-direct/
Time Stamps:
Chapters
- 00:00:00 Cold Open
- 00:04:16 How Visa uses AI
- 00:06:46 Defining AI in Financial Services
- 00:11:44 AI and the increased security risk
- 00:12:57 How Visa keeps up with AI risk
- 00:14:27 What is a Money Mule?
- 00:15:15 Benefits of a big network
- 00:16:16 How Visa handles cyberattacks
- 00:18:31 Organized crime or individual crimes
- 00:20:50 How Visa stops scams
- 00:24:00 Visa Security Red Team
- 00:25:48 AI bias in the finance world
- 00:28:44 AI and gender bias
- 00:31:35 How Visa handles bias in AI
- 00:33:23 The future of AI in finance
- 00:36:15 Last Word
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