The Feedzai Blog

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Improving the Infrastructure of IoT for Fraud Frevention

    The Internet of Things can be a great tool for preventing fraud at various points of payment, as well as within e-commerce. However, if not properly invested and secured, it can also be a great liability. Often, the best way to mitigate the risk of

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    Machine Learning and Cyber-Security: What are the Stakes?

      In cybersecurity, as in fraud prevention and detection, there is a constant movement between two forces: IT staff and cybercriminals. The latter always looks to outwit the former, whether to steal information from a database or take over a site, while the former keeps building

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      Can the Internet of Things Perpetuate Fraud?

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        Cutting Through the Myths of Machine Learning

          Recently, our Chief Science Officer, Dr. Pedro Bizarro, contributed to The Paypers’ “Web Fraud Prevention, Online Authentication & Digital Identity Market Guide” for 2015/2016 with an essay on machine learning. We find that with the fintech revolution underway, we sought to help bust several myths

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          The Promise of the Blockchain in Payments

          Payments are evolving by the day. Mobile technology causes transactions to be far more flexible and affordable for businesses. EMV intends to make on-premise sales secure through the use of a standard smart chip. Mobile wallets could have the potential to change the way customers

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          Feedzai Data Scientist Wins National Pattern Recognition Award

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          Current Challenges in Cross-border Payments

          One of the great weak spots in the global payments ecosystem is when money leaves one country and goes to another. As the economy becomes more global, the great issue that rings forth is whether a business can reasonably pay someone in another country, often

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          Data and Algorithm Acquisition Can Improve Machine Learning

          Machine learning consists of three structural elements that are core to its function: the data received for analysis, the algorithms that turn the information into structural adaptations and the visualized results that appear when the first goes through the second. By training the machine to

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