The objective of many security attacks and data breaches that corporations suffer from is the violation of sensitive information, such as customers' credit card details. Such attacks are often conducted in stealth mode, and so it is difficult to detect such threats using traditional methods. In addition, the amount of data to be monitored often assumes dimensions that cannot be effectively analyzed with just traditional extract, transform, and load (ETL) procedures that are executed on relational databases, which is why it is important to adopt artificial intelligence (AI) solutions that are scalable. By doing this, companies can take advantage of cloud architectures in order to manage big data and leverage predictive analytics methodology.
Credit card fraud represents an important test for the application of AI solutions in the field...