Our fraud solutions have the ability to learn from a massive, proprietary dataset and our network of consumers, business, and financial institutions.
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Our fast-learning, predictive risk algorithms ingest trillions of data points from our network to identify patterns and help mitigate risk.
Dynamic routing, retries, and granular data analysis ensure that legitimate transactions are approved faster, at a higher rate, and more often on the first try.1
Utilise our data security experts adept at helping businesses apply successful compliance and security strategies.
A secure data sharing offers a sophisticated and streamlined way to build and maintain your payments system via subscriptions
Lean on our powerful set of machine learning, automated decisioning, and decades of data-driven insights to help monitor fraud and reduce risk.
Our network securely processes more than 10 million payments each day, and since our security platform gets smarter with each transaction, we help you manage your bottom line and your customers with the experience, global reach, and fraud-protection technology of PayPal.
1 PayPal Internal Data. June 2019. Methodology: Benchmarked against MasterCard auth data set for the month of June 2019. There is no de-duplication for any of the numbers (removing duplicates will give us higher auth rates in the range of 95%+)