Using AI/ML for Fraud Detection

There was a time when the telecom operators depended on CDR analysis in order to identify any frauds. We are now witnessing advanced fraud management systems in place that can identify different fraud patterns based on improved self-learning technologies. In this blog we will discuss the AI/ML technologies that can be used to identify frauds.

Key AI/ML Techniques to Predict Telecom Frauds:

Data Modeling
Supervised Model - Widely used form of machine learning for all types, based on transactions accurately marked. In this model, the transaction data is properly identified and marked as fraudulent or non-fraudulent transaction. This model is based on historical data set that understands the behavioral pattern of the data likely to be fraud or clean.

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