Graduate Analytics Consultant at a tech services company with 51-200 employees
Real User
2020-11-25T23:22:20Z
Nov 25, 2020
We used it for an Academy project and we also used it for a credit card transaction fraud detection project. The purpose of the project was to denote anomalies or customer records that were different from usual. The reason that we used this solution was that it was the only end-to-end framework available on the market at that time. If I were to build my own solution on AWS, I would have had to bring in all the components, but AWS Fraud Detector has the capability to blend in not just the data streaming part, but also the multi-building part, ultimately chiming in with Amazon QuickSight for the visualization and Amazon SNS for notification.
Find out what your peers are saying about Amazon Web Services (AWS), Riskified, Broadcom and others in Fraud Detection and Prevention. Updated: November 2024.
What is Fraud Detection and Prevention? It wasn’t that long ago that fraud detection and prevention involved reviewing a fair bit of historical data analysis. Data scientists would be poring over tons of credit card records in order to spot fraudulent (or with luck, potentially fraudulent) activity.
Fast forward to today and we see fraud detection systems depend on catching and stopping fraud the second it’s spotted or even before it actually occurs. Automated solutions for fraud...
We used it for an Academy project and we also used it for a credit card transaction fraud detection project. The purpose of the project was to denote anomalies or customer records that were different from usual. The reason that we used this solution was that it was the only end-to-end framework available on the market at that time. If I were to build my own solution on AWS, I would have had to bring in all the components, but AWS Fraud Detector has the capability to blend in not just the data streaming part, but also the multi-building part, ultimately chiming in with Amazon QuickSight for the visualization and Amazon SNS for notification.