In the age of deep fakes, large language models, and ChatGPT, AI is scaling up chargebacks and scams. However, used correctly, it's also a tool in the fraud squad’s toolbox. The insight key is understanding the shift from intrinsic AI to extrinsic AI. Our defenses were based on looking at intrinsic data about users (PII, biometrics, passwords). But what is extrinsic AI and how does it help?
Here's what you'll learn:
Emerging fraud typologies enabled by AI
Their relative success rates vs historic methods
The weakness of intrinsic data fraud detection
How extrinsic data and signals support better fraud detection
Soups is the co-founder and CEO of Sardine.AI, a VC funded company with the mission to “confidently load money into a digital wallet”, where Sardine takes care of fraud and compliance issues related to money movement and instantly funds the money...
PJ guides the strategic roadmap. He leverages a strong understanding of the fraud ecosystem, both provider and end-user, and informs feature development. He speaks, engages and educates folks on relevant fraud trends and strategies, while...
Ashton specializes in translating complex fraud platforms into manageable, performant fraud programs. He's been consulting with merchants and fintechs on fraud prevention across a plethora of typologies for the past 6 years and loves tackling new...
Matt is a quadruple-board certified fraud strategy and cyber-fraud tech/fintech/payments industry executive and investor with over 15 years of experience. Matt started his career in the early 2000's where he became fascinated with what he calls...