Summary
Our global fraud protection helps detect and block fraud by using machine learning to examine data across billions of transactions and automatically blocks high-risk charges before it ever hits our merchant’s business. We give our merchants access to the same technology that Google, Amazon, Lyft, Zoom, and other giants use- at no additional cost to them. We also utilize more standard fraud detection methods like customer detail matching to ensure that the billing, shipping, and other properties match the customer information.
Availability
Available to all brands, no additional development is needed.
Processor
| Brand |
Available |
| Adyen |
✅ |
| Stripe |
✅ |
Fraud Identification Tools
What are some things that are used to identify fraud?
- Partnerships with Visa, Mastercard, American Express, and others, allow us to use data like TC40s, SAFE reports, and early dispute notifications to identify fraudulent activity.
- Proxy detection is used to identify IP spoofing and proxy usage, both of which are leading indications of fraud. We can also use the customer’s email domain to determine if a payment is fraudulent.
- With billions of transactions happening through our network every year, we can use historical card data to spot patterns across years of data.
Fraud Prevention
Adyen and Stripe have their own prevention tools that have been built into their processing systems, below are the tools that each uses:
Adyen:
- Built-in risk management and fraud detection using machine learning.
- Customizable risk rules and 3D Secure 2.0 support.
Stripe:
- Stripe Radar uses machine learning to detect and prevent fraud.
- Customizable fraud rules and real-time monitoring.
Additional Information