Credit Card Fraud Detection Solutions – How to Implement Them in Your Business

If you are interested in building a startup for Finance or Banking, I would like to recommend this article on Credit Card Fraud Detection powered by Machine Learning. You will learn how cutting edge technology is helping to find sophisticated crime and give you an idea in which direction the progress will go.

From the moment the payment systems came into existence, there have always been people who will find new ways to access someone’s finances illegally. This has become a major problem in the modern era, as all transactions can easily be completed online by only entering your credit card information. Even in the 2010s, many American retail website users were the victims of online transaction fraud right before two-step verification was used for shopping online. Organizations, consumers, banks, and merchants are put at risk when a data breach leads to monetary theft and ultimately the loss of customers’ loyalty along with the company’s reputation.

Unauthorized card operations hit an astonishing amount of 16.7 million victims in 2017. Additionally, as reported by the Federal Trade Commission (FTC), the number of credit card fraud claims in 2017 was 40% higher than the previous year’s number. There were around 13,000 reported credit card fraud cases in California and 8,000 in Florida, which are the largest states per capita for such type of crime. The amount of money at stake will exceed approximately $30 billion by 2020.

Explore more in the full article: https://spd.group/machine-learning/credit-card-fraud-detection/