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Fraud Detection

Flag unusual transactions and behaviors that might indicate fraud attempts. Analyzing historical transaction patterns per customer/customer segment, spot anomalies. Examples of fraud include credit card fraud, loan fraud fraud, on-boarding customers fraud

Business value: Reduces Fraud Loss, Gain Customer Trust, and Improve Customer Experience.

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1. Get Inspired

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2. Know More

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Deeper Intro

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Business Focused

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3. Do

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Data Sets

Data Sets you can use to build Demos, POCs, or test Algorithms

Synthetic Financial Datasets For Fraud Detection

Synthetic datasets generated by the PaySim mobile money simulator

Credit Card Fraud Detection

The dataset contains transactions made by credit cards in September 2013 by European cardholders.
This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions

IEEE-CIS Fraud Detection

The data comes from Vesta’s real-world e-commerce transactions and contains a wide range of features from device type to product features (with “isFraud” as an attribute, for fraudlent transactions)

Solutions

Off-the-Shelf Products using AI for Fraud Detection

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