In recent years, the growth of new technologies have also provided further ways in which crime as gone smart and criminal may commit fraud in a smarter way. Cases related to credit card fraud have risen exponentially over the past few years. And regrettably, fraud is one of the main challenges consumers have to deal with in their credit ratings. This is why it is vital that businesses of all sizes make network and POS security a top priority. Traditional methods of data analysis have long been used to detect fraud. They require complex and time consuming investigations that deal with knowledge of different domains like financial, economics, business practices and law. In this paper I’ll analyze how neural network technique helps in credit card fraud detection. Neural network techniques which can learn suspicious patterns from samples and used later to detect them. These published findings in the credit card industry to find some of the vulnerabilities that can prepare to affect the consumers who choose to pay by credit card.