In the few last years, artificial intelligence has become a hot topic due to its multiple business applications. In Air Europa, it is currently being used in several areas of business such as pricing, voice recognition, e-commerce consumer behaviour, product recommendation, and fraud prevention. Specifically, in the area of fraud prevention, airlines have to deal with fraud attacks taking place almost continuously. Fraudsters have a 24-hour job to find out where a breach in security or gap in procedure is and take advantage of it. These attacks range from CEO fraud, through ransomware attacks to credit card fraud. Some of them can be prevented with a set of security protocols and tools. However, others—mainly due to the volume of transactions to be evaluated— exclusively need AI and more specifically, machine learning, which is a branch of artificial intelligence that basically provides algorithms to identify anomalies like fraud patterns.
There are several areas in an airline where machine learning algorithms can be applied to identify fraud patterns. In Air Europa, we consider two groups. The first group would be the most critical one, meaning that a relevant increase of fraud ratios can result in severe damage for the airline.