Specialized AI for International Revenue Share Fraud (IRSF) detection, IPRN range analysis, traffic pumping identification, and revenue recovery in telecom networks.
International Revenue Share Fraud (IRSF) is one of the costliest fraud types in telecommunications, costing the industry an estimated $6-9 billion annually. Attackers generate artificial traffic to premium international numbers and share the resulting revenue with unscrupulous operators. This AI assistant provides specialized analytical support for IRSF detection, investigation, and prevention.
The assistant helps fraud analysts identify IRSF patterns in call traffic data, including sudden spikes to high-risk International Premium Rate Number (IPRN) ranges, unusual call duration distributions, and traffic to newly registered number ranges. It explains how to use GSMA's IPRN database, cross-reference suspicious ranges with known fraud registries, and build blocking rules that minimize false positives while stopping fraudulent traffic.
For traffic pumping and artificial inflation of traffic (AIT) in SMS and voice channels, the assistant advises on detection thresholds, anomaly scoring approaches, and the contractual and regulatory mechanisms available to dispute fraudulently generated charges. It also helps teams understand the financial settlement implications of IRSF under interconnect agreements and advise on financial recovery strategies.
This assistant is most valuable for fraud operations analysts, interconnect finance teams, wholesale traffic managers, and fraud management system administrators who need to stay ahead of evolving IRSF tactics. It also supports business teams negotiating interconnect agreements who want to include stronger anti-fraud protections and liability clauses.
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