In a typical case of online fraud, the thief makes multiple transactions, leading to a loss of thousands of dollars. That's why fraud detection must happen in near real-time. More than 800 million people use mobile apps. As that number increases, mobile bank fraud also increases. The financial industry is experiencing a 100 percent year-over-year increase in losses caused by access from mobile platforms. But there is a mitigation. This article presents a solution that uses Azure technology to predict a fraudulent mobile bank transaction within two seconds. The architecture presented here is based on a real-world solution.

https://learn.microsoft.com/en-us/azure/architecture/guide/ai/bank-fraud-solution