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Visa’s AI edge: How RAG-as-a-service and deep learning are strengthening security and speeding up data retrieval
Visa has reduced data retrieval from hours to mere minutes and blocked $40 billion in fraud thanks to gen AI tools.
However, as one of the world’s largest digital payments providers, Visa naturally had concerns about its customers’ sensitive data — specifically, that it remained secure, out of the public domain and wouldn’t be used for future model training. For instance, a new Visa deep authorization tool provides transaction risk scoring to help manage card-not-present (CNP) payments (such as when users pay via web or mobile app, as is everyday practice for all of us). Hamilton explained that Visa used a transformer-based model — a neural network that learns context and meaning by tracking relationships in data — to enhance these tools and quickly identify and thwart fraud.
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