Amazon Fraud Detector
#208 · Level 3 · Modern architecture · AI and machine learningConcept
Section titled “Concept”Amazon Fraud Detector helps you build ML models to catch online fraud. The model is trained with your own company’s data on past events — which ones were real and which were fraud. When a new event comes in, such as a sign-up or an order, the model gives it a risk value (score). You can add your own rules to this to decide what to block and what to check. This lets you build a fraud-catching system without being an ML expert yourself.
Simple example
Section titled “Simple example”An experienced bank officer who becomes suspicious as soon as they see an unusual transaction.
Why it’s needed
Section titled “Why it’s needed”If fraud is caught late, money is lost; rules written by hand cannot catch every trick.
Where it’s used
Section titled “Where it’s used”Blocking fake sign-ups, catching suspicious orders. (Check its current status in the official docs.)
Azure equivalent
Section titled “Azure equivalent”No direct match; closest: Azure Machine Learning
Learn more
Section titled “Learn more”For details and the latest information, see the official documentation: