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International Revenue
Share Fraud
Shut down IRSF before the high-cost minutes pile up.
Subex AI automatically updates number range intelligence, flags unknown fraud patterns, and keeps your exposure to expensive destinations at a minimum. Attacks are caught as they emerge, not after the traffic bills land. Faster detection, lower exposure, costly abuse blocked at the door.
Subex AI automatically updates number range intelligence, flags unknown fraud patterns, and keeps your exposure to expensive destinations at a minimum. Attacks are caught as they emerge, not after the traffic bills land. Faster detection, lower exposure, costly abuse blocked at the door.
Overview
International Revenue Share Fraud (IRSF) has been rated as the top telecom fraud globally, causing significant revenue loss to telco businesses. With the understanding that traditional approaches fail to address the new fraud trends, Subex has designed a proactive IRSF management solution powered by Artificial Intelligence (AI) and GenAI to help you safeguard your revenue and resources against IRSF. The solution is built around an engine driven by artificial intelligence-based algorithms that enable real-time monitoring and allows you to take action instantly. The intelligent database updates the hotlist automatically by aggregating the newly identified global number ranges, and premium number ranges from different sources.
The Challenge
IRSF and AIT can drive losses rapidly through short, high-volume traffic bursts to high-cost destinations. As fraudsters shift number ranges and routes, fragmented intelligence and delayed detection extend exposure. The CFCA Global Fraud Loss Survey 2025 ranks IRSF/AIT as the third most prominent fraud type, with estimated losses of $2.6 billion.
High-cost destinations are targeted with short, high-volume call bursts that can spike losses quickly.
Fraudsters pivot to new number ranges and routes when controls tighten.
Siloed destination intelligence makes it harder to keep hotlists current.
Delayed detection increases loss exposure and operational load.
Real Impact. Real Efficiency. Real Results.
Enhanced IRSF Detection
Enhanced IRSF Detection using IRSF Database, Honeypots, Machine Learning, and Rules.
Enhanced IRSF Detection using IRSF Database, Honeypots, Machine Learning, and Rules.
With investigative AI Agents that significantly reduce investigation time.
Low TCO and can be offered as a Service
Full support on open source technologies and Android handsets operating as TCG probes, significantly reduces the Capex.
Future-proof network against next-gen frauds
Equipped with Anomaly engine which is capable of identifying unknown unknowns which makes it future ready to address next-gen frauds.
Minimal fraud runtime
Early detection of unknown patterns with AI-powered anomaly engine ensuring that there is minimal fraud runtime.
Key Capabilities
Investigative AI Agents
Autonomous GenAI agents that analyze vast datasets to streamline fraud investigations in real-time.
IRSF Pattern mining for Fraud & Security
AI-powered fraud detection models for faster detection of IRSF Frauds.
Shared Intelligence
Intelligent database of Premium Number Ranges & International Number Ranges.
Honeypot Network
Low/High PBX Interaction Honeypot Network to monitor the threats.
Analysis Arena
Enhanced dashboards that support trunk, destination analysis and revenue saved statistics.
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Frequently Asked Questions
Everything you need to know about how our International Revenue Share Fraud solutions work.
What makes IRSF particularly damaging for telecom operators?
IRSF has been rated the top telecom fraud globally. According to the CFCA Global Fraud Loss Survey 2025, IRSF/AIT was the third most prominent fraud type with an estimated $2.6 billion in losses. Fraudsters target high-cost destinations with short, high-volume call bursts that spike losses quickly, and continuously pivot to new number ranges when controls tighten.