Fraud Detection Enhanced with Machine Learning

Fraud detection is key for any Communications Service Provider (CSP).  CSPs require a flexible fraud system that is trusted to identify both known and future frauds while protecting against potential revenue leakages.  Fraud never stops, it only changes.

CSP’s can no longer rely on only rules and thresholds for fraud detection, as fraudsters themselves are using artificial intelligence to change behavior in real-time and avoid detection. With an ever-increasing data processing load, traditional rules-based systems are struggling to keep up, and in turn alerting delays are experienced with high false positives rates. Fraudsters are now utilizing techniques to take advantage of traditional Fraud Management System gaps by utilizing sophisticated  and ever improving approaches to avoid detection. Quantum Ran’s Fraud Management System uses real-time machine learning algorithms to identify fraud, and other anomalies by sifting through the volume of structured and unstructured data.

Protect Subscribers Quantum Ran’s Fraud Management System

Quantum Ran’s Fraud Management System helps CSPs address subscriber detection by addressing robocalling and nuisance calls. The system provides CSPs and their subscribers voice spam detection and prevention even when advanced CLI spoofing methods are used by fraudsters such as mirror spoofing, neighbor spoofing.

Protect Revenue with Quantum Ran’s Fraud Management System

Quantum Ran’s Fraud Management System helps CSPs address revenue protection.  Example types of revenue fraud include voice fraud, subscription/dealer fraud, data fraud, roaming fraud and wholesale fraud. With AI and real-time ML each type of fraud can swiftly be addressed based on unique fraud types:

  • Voice fraud ( Revenue Share, IRSF, Wangiri) is addressed with real-time ML and rules support for automatic blocking.
  • Subscription/dealer fraud: Subscription fraud is addressed and blocked by predicting at connection time using ML predictive analytics, and dealer fraud is identified and blocked post connection.
  • Data fraud is detected and blocked for data charging bypass by searching for malicious and accidental methods such as DNS abuse, accidental zero ratings, incorrect camel flags and protocol tunnelling.  
  • Roaming fraud is detected and blocked for frauds committed while roaming, including NRTDE files in the roaming network.
  • Wholesale fraud is detected and blocked at the international wholesale carrier level, built to address wholesale specific demands.

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