A tier-1 telecom operator serving over 20 million subscribers, including a large base of international roamers, was struggling with significant revenue leakage caused by roaming fraud. Fraudulent activities such as SIM cloning, subscription fraud, and artificially inflated traffic were not only resulting in heavy financial losses but also damaging customer trust and increasing operational risks.

The existing fraud management system relied heavily on post-event detection, which meant fraudulent usage was often identified only after substantial charges had already accumulated. This delay made it difficult to recover losses and left the operator exposed to repeated attacks.

The Challenge: Roaming Fraud Draining Revenues

  The telco faced multiple fraud vectors:
 

• SIM box fraud rerouting international calls through low-cost channels.
• Subscription fraud where fake identities were used to exploit roaming services.
• Delayed detection fraudulent transactions were identified days or weeks later, after substantial revenue leakage.
• High financial losses in millions annually.
• Customer dissatisfaction due to unexpected charges or blocked accounts.

Manual fraud monitoring was no longer scalable, especially with growing international traffic.  

The Solution: AI-Powered Real-Time Fraud Detection

AIRA deployed an AI-driven fraud detection platform with real-time monitoring and decisioning capabilities.
  Key solution components:
 

• Streaming Data Analysis of CDRs (Call Detail Records), usage logs, and roaming activity in milliseconds.
• Behavioral AI Models trained to identify unusual usage patterns (e.g., sudden location switches, excessive international calls).
• Adaptive Risk Scoring for every transaction, updated dynamically.
• Instant Blocking & Alerting suspicious activity automatically suspended with alerts to fraud teams.
• Continuous Learning Models that improved detection accuracy over time.

The Results: Fraud Prevention at Speed & Scale

 

• 80% reduction in roaming fraud incidents.
• Real-time blocking prevented millions in potential revenue leakage.
• 95% detection accuracy with adaptive learning.
• 40% reduction in false positives, ensuring genuine customers weren’t impacted.
• Strengthened customer trust through proactive fraud protection.

Bottom Line: By shifting from delayed fraud detection to real-time AI-driven prevention, the operator safeguarded revenues while delivering secure roaming services to customers worldwide.