PayMongo uses a powerful machine learning engine that allows us to detect and fight fraud by analyzing thousands of different combinations of signals from historical and real-time data.
We build internal tools to easily detect fraud attacks so we can protect your business from online fraud abuse 24/7.
We understand that each business has a different risk appetite. We can work together to formulate business rules that fit your needs!
Send us an email about your concern and our risk analysts will get in touch with you right away.
It is a standard developed and managed by the PCI Security Standards Council to ensure the protection and security of card information transmitted through the card processing payments industry.
Bad actors who attempt to eavesdrop on your data will not be able to read or access it.
PayMongo is listed in the BSP's official list of registered operators of payment systems (OPS).
We leverage thousands of data points to predict and fight fraudsters in real-time.
Evaluates and scores each payment based on thousands of combinations of data to prevent fraudulent or high-risk transactions.
Associates similar data points across the PayMongo payments universe.
Identifies clients that used the same devices during the transaction.
Detects similar patterns from our base using sophisticated machine learning models.
PayMongo's risk engines are powered by machine learning and are currently being used without additional fees. Our risk team does the work for you so you can focus on what matters most: your business.
PayMongo uses a powerful machine learning engine that allows us to detect and fight fraud by analyzing thousands of different combinations of signals from historical and real-time data. This enables us to predict fraud accurately and protect our merchants against fraud attacks and bad actors.
Our Fraud and Risk Team builds and manages the risk assessment rules that allow us to automatically evaluate the integrity of transactions and respond quickly to fraud attacks. We leverage data science and analytics to identify fraud patterns and implement internal risk parameters to keep our platform safe.