what type of embeddings or representations are used here for relationships (How many different cards have been associated with this IP address?, frequent IP addresses previously used with this card?, etc) what type of embeddings or representations are used here for geo coordinates and time patterns?
First link should point to here: https://stripe.dev/blog/how-we-built-it-stripe-radar
Quite interesting how fraud prevention at scale comes down to data, speed, and iteration, driving smarter decisions against scams.
what type of embeddings or representations are used here for relationships (How many different cards have been associated with this IP address?, frequent IP addresses previously used with this card?, etc) what type of embeddings or representations are used here for geo coordinates and time patterns?
Please use less cuteness. Fraud provider? There are names for everyone in the transaction. Merchant, cardholder, fraudster, processor, bank.