Telecommunication industry being the one attracting almost the most significant number of users every day is a vast field for fraudulent activity. The most widespread cases of fraud in the telecom area are illegal access, authorization, theft or fake profiles, cloning, behavioral fraud, etc. Fraud has a direct influence on the relationship established between the company and the user.

By applying unsupervised machine learning algorithms to an immense amount of customer and operator data to spot the characteristics of normal traffic you can prevent fraud.