I'm working as an functional consultant for Manhattan Associates. I'm specialized in Manhattan's Active Omni cloud native solution. Our client is a world-renowned luxury retailer, they chose Riskified for protection against eCommerce fraud attacks (credit cards and Paypal). Riskified integration with OMS systems, such as ours, is a simple and smooth process thanks to Riskified's team guidance. The process was as follows: - sharing Riskified's endpoints so that the OMS can send data to Riskified during an order's lifecycle key stages. - define the mapping requirements for each order's lifecycle key stages. - define authentication protocols for forward and backwards flows.
What is Fraud Detection and Prevention? It wasn’t that long ago that fraud detection and prevention involved reviewing a fair bit of historical data analysis. Data scientists would be poring over tons of credit card records in order to spot fraudulent (or with luck, potentially fraudulent) activity.
Fast forward to today and we see fraud detection systems depend on catching and stopping fraud the second it’s spotted or even before it actually occurs. Automated solutions for fraud...
Riskified is for fraud prevention. The solution sits close to the gateway. It screens orders and rejects those that have a high fraud profile.
I'm working as an functional consultant for Manhattan Associates. I'm specialized in Manhattan's Active Omni cloud native solution. Our client is a world-renowned luxury retailer, they chose Riskified for protection against eCommerce fraud attacks (credit cards and Paypal). Riskified integration with OMS systems, such as ours, is a simple and smooth process thanks to Riskified's team guidance. The process was as follows: - sharing Riskified's endpoints so that the OMS can send data to Riskified during an order's lifecycle key stages. - define the mapping requirements for each order's lifecycle key stages. - define authentication protocols for forward and backwards flows.