All About Amazon Fraud Detector!

Hi there,

Today, let’s have overview-based discussion around Amazon Fraud Detector Service.

Amazon Fraud Detector is a fully managed service enabling customers to identify potentially fraudulent activities and catch more online fraud faster.

Let’s explore the service -

These are the 6 steps involved which have been attached below -

Then there are 4 steps in Detectors -

Step 1 : Explore data model for your business use case

Here, there are 5 data models are available listed as

🔹Online transaction fraud

🔹New accound fraud

🔹Account takeover fraud

🔹Online checkout and payment fraud

🔹Product review fraud

and there is an option for us to create a custom fraud data model as well.

Step 2 : Build an event dataset

Event dataset helps to define the structure of an event sent to Fraud Detector.

Step 3 : Build a machine learning model

For model type, we are having 3 types -

🔹Online Fraud Insights - optimized to detect account registration fraud

🔹Transaction Fraud Insights - optimized to detect online payment fraud

🔹Account Takeover Insights - designed to detect accounts that have been compromised through stolen credentials, phishing, or other forms of account takeover

All the 3 model types are supervised machine learning models.

Step 4 : Build a detector and get predictions

At last, build your detector and get the predictions for fraud.

Use cases of Amazon Fraud Detector -

🔹To detect fraud online payments

🔹To detect account takeover

🔹To detect new account fraud

Customers of Amazon Fraud Detector -

1. SLA Digital
2. FlightHub Group
3. Omnyex
4. Qantas Loyalty
5. Duda
6. GoDaddy
7. ActiveCampaign
8. Truevo
9. Clearly
10. Icony

etc.

Let’s dig deeper into Amazon Fraud Detector in next blog.

Stay Tuned!!