How does Glopal handle fraud?

While selling and buying online is increasingly safe and cases of fraud become very rare, in some verticals, such as high end jewelry or electronics, it might happen that you come across fraudulent transactions.

Because Glopal processes your payments using world-class PSP's, it is our commitment to protect you from fraud.

This is done on a few levels:

• We use secured PSPs with fraud alerts and monitoring
• The Glopal Customer Care team monitors transactions going through the platform to see the fraud attempts
• As of January 2024, we have introduced Riskified, an AI-powered fraud and risk intelligence tool.

What are the fraud rules in place?

This tool does not use static rules, as it is a next-gen fraud engine. Our fraud provider relies on several machine learning models fed with billions of transactions across their entire merchant network (thousands of merchants, including Booking.com, Agoda, Wayfair, etc) which determine with extremely high accuracy the fraud probability of a unique transaction.

• The data points which their models is fed on are various:
• Behavioral data during browsing on product page, cart and checkout
• Device fingerprint
• IP addresses
• Age of email address
• Shipping address
• Billing address
• Past fraud activity of elastically linked data points (even at another merchant of their network)
• Card AVS result 
• Proxy used
• Connection type
• AND dozens of data points which are enriched via various sources by our fraud provider. 

Many of these data points can be traced, via machine learning models in addition to their merchant network or elastic linking, to a fraud probability, which triggers Riskified's systems and automatically prompts us to accept/reject a given transaction. Note that these models are very accurate, and even if transactions do not look fraudulent, in a vast majority of cases, they would come back as chargebacks, if accepted.