Question: How can I implement geolocation-based fraud prevention measures for my e-commerce platform?

To add geolocation-based fraud prevention to your e-commerce site, MaxMind has a mature offering. It offers real-time risk scoring and insights based on machine learning to detect VPN, proxy and anonymizer abuse and block unauthorized users. MaxMind covers 99.9999% of IP addresses and 99.99% of web service uptime, making it a good option for businesses of any size.

Another option is Verisoul, which automates manual processes and consolidates vendors to keep up with fraudsters. Verisoul uses a variety of signals, including geolocation, to determine that users are legitimate and not duplicates. The platform offers automated decisions, workflows and AI investigation to replace manual reviews and ad-hoc data analysis, and it's designed to be easy to integrate and adapt to different user populations.

For persistent device fingerprinting and indoor location intelligence, Incognia offers a service that identifies users across multiple devices and spots anomalies like location spoofing. It offers frictionless risk solutions, user verification and fraud prevention options that have delivered strong results in food delivery and financial services.

Last, Riskified uses AI to help e-commerce companies reduce fraud and increase revenue. It reviews more than 480 data attributes to make decisions, offering fraud protection and chargeback management. Riskified has helped companies cut fraud costs and increase transaction success, so it's a good option for e-commerce sites that want to improve their fraud protection.