Telecom Fraud Detection

This application area focuses on detecting and preventing fraudulent activity across telecommunications networks, services, and billing systems. It covers threats such as SIM swap and subscription fraud, account takeover, international revenue share fraud, roaming abuse, premium-rate scams, spoofed calls, and SMS phishing. The goal is to monitor massive volumes of call detail records, signaling events, billing data, device activity, and customer behavior in (near) real time to spot anomalies and suspicious patterns before losses accumulate. AI enhances traditional rules-based fraud management by learning normal behavior, adapting to evolving attack vectors, and prioritizing the riskiest events for action. Techniques like anomaly detection, graph analysis, and sequence modeling help identify subtle, cross-channel fraud schemes that static rules miss, while generative and analytical tools assist investigators with faster triage and explanation. This reduces revenue leakage, limits customer churn, and helps operators and partners meet regulatory and national-security expectations for securing communications infrastructure.