> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dojah.io/llms.txt
> Use this file to discover all available pages before exploring further.

# EasyDetect Overview: Rules-Based Fraud Monitoring

> Introduction to EasyDetect. Set rules and conditions to block or flag high-risk events. Used in e-commerce, ride-hailing, lending, and digital banking.

EasyDetect is our Fraud Monitoring solution that allow businesses fight fraud by setting rules and conditions that would serve as blockers.

This solution can be used with the following industries and more:

1. E-commerce : identify fraudulent transactions and also monitor fake accounts when promo is being ran
2. Ride-hailing: identifying drivers who create multiple accounts and also completing fake trips
3. Lending: determining if a user can pay the amount borrowed based on historical pattern
4. Digital Banks: also preventing fake accounts, moving money out of wallets fraudulently

EasyDetect's machine learning algorithms use classification, random forest and neural networks to identify patterns and typical behaviors behind fraudulent transactions.

This gives you an improved accuracy when it comes to detecting fraudulent activities earlier.

The machine learning models can process hundreds or even thousands of approved and declined transactions in order to uncover connections that you may not have been aware of.