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Generative AI: Shaping a New Future for Fraud Prevention, by Neha Narkhede at QCon San Francisco
At the recent QCon San Francisco conference, Neha Narkhede gave a keynote on how generative AI can help improve the state of the art in fraud prevention. She discussed the "knowledge fabric", which is able to capture all information and knowledge on current fraud methods. She also introduced six foundational pillars of AI Risk Decisioning.
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Netflix's Fraud Detection Framework for Streaming Services
Netflix has developed a fraud and abuse detection framework for streaming services, based on artificial intelligence models and data-driven anomaly detections trained on the behavior of the users. Streaming services have, potentially, a lot of onboarded users on multiple devices.
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AWS Releases Amazon Fraud Detector into General Availability
Amazon Fraud Detector is a fully-managed service on AWS providing customers with the capability to quickly identify potentially fraudulent online activities, such as the creation of fake accounts, loyalty account and promotion code abuse or online payment fraud. The service uses machine learning (ML) and relies on two decades of fraud detection expertise from AWS and Amazon.com.
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Fighting Financial Fraud with Machine Learning at Airbnb
Airbnb, the online marketplace that matches people who rent out their homes with people who are looking for a place to stay, uses machine learning (ML) techniques to fight financial fraud. They use targeted friction to battle the chargebacks while minimizing impact to good guests using their online reservation system.