Using AI to Detect SIM Swap Fraud in Real-Time
A leading mobile operator with over 15 million subscribers faced rising cases of SIM swap fraud, where fraudsters tricked the system into transferring a user’s phone number to a new SIM card. This enabled them to bypass two-factor authentication (2FA) and gain access to sensitive banking, wallet, and digital services.
The Challenge: SIM Swap as a Gateway to Financial Fraud
The operator struggled with:- Growing fraud incidents leading to major financial losses for customers.
- Reactive detection — fraud was often identified only after customer complaints.
- Customer trust erosion due to compromised accounts.
- Complex fraud patterns involving identity theft, social engineering, and insider risks.
- Regulatory pressure to ensure stronger fraud controls.
The Solution: Real-Time AI-Driven SIM Swap Detection
Amantra deployed an AI fraud monitoring system designed to detect and block SIM swap attempts instantly. Key solution components:- Real-Time Monitoring of SIM change requests, geolocation data, and device fingerprints.
- Behavioral AI Models trained on subscriber history (usage, location, device type) to spot anomalies.
- Cross-Channel Intelligence — integrating telecom data with banking and digital wallet alerts.
- Risk-Based Blocking — suspicious SIM swaps automatically flagged or held until verified.
- Customer Alerts sent instantly via multiple channels (SMS, email, app notifications).
The Results: Fraud Stopped Before It Happens
- 95% detection accuracy in spotting fraudulent SIM swap attempts.
- Millions saved in potential fraud losses.
- 80% fewer fraud-related complaints to the call center.
- Stronger compliance with regulatory standards.
- Boosted customer trust in mobile and digital financial services.