Our fraud solutions have the ability to learn from a massive, proprietary dataset and our network of consumers, business, and financial institutions.
Help protect your bottom line with features that put the future of safe digital commerce in your hands today.
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
Adapt to evolving fraud patterns without causing friction at checkout or increasing the risk of false declines.
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 customizable solutions that use machine learning, automated decisioning, and decades of data-driven insights to help prevent fraud and reduce risk.
Movie-going is an interesting business where we have these moments of huge volume. To be able to handle this kind of scale is critical, and our integration has been great.
Greg Ferris
SVP, Chief Product Officer
Fandango
Harness the power of billions of annual transactions on our network to help you spot risks before they happen so you can provide a safer experience for you and your customers.
Built on a foundation of operating at scale in over 200 markets, our network is comprised of over 400 million active users and more than 30 million merchants.
With so many fraud protection options available, how do you choose the one that works best for your business? Start by asking any potential partner these five questions.
Read the articleDiscover some of the most relevant seasonal, cultural, behavioural and technological information that could give you an edge when breaking into new, unfamiliar markets.
Download the reportThe coronavirus could be bringing more than loyal customers to your website—it may also be attracting fraud. Your payments platform must be able to scale and adapt.
Read the articleLearn how payments can be leveraged as a catalyst for growth.
See how our flexible and interoperable technology helps to simplify integration.
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%+)