SIM Box Detection
SIM Box Detection identifies bypass fraud by analysing subscriber behaviour and traffic patterns associated with SIM box activity.
The platform monitors call volumes, call distribution, inter-call timing, and usage consistency to detect patterns that deviate from normal subscriber behaviour. Behavioural profiling is applied at subscriber level, enabling identification of SIM cards exhibiting characteristics consistent with SIM box operation.
Machine learning models classify usage patterns and flag high-risk SIMs for further investigation. Detection thresholds and decision logic are configurable, allowing operators to balance sensitivity and false positive rates.
The module supports operational workflows for review and action, enabling operators to identify and address bypass fraud while minimising impact on legitimate high-usage subscribers.
