As telecom networks grow increasingly complex, traditional fraud prevention methods are no longer sufficient. Attack vectors such as IRSF, CLI spoofing, Wangiri, and SIM farms are evolving rapidly, threatening carriers’ revenues and customer trust. Modern operators need solutions that operate in real-time, leveraging AI and machine learning to detect threats inline, not hours later through batch processing.
Implementing AI-powered fraud prevention ensures sub-100ms decision-making, protecting networks before calls are connected. Beyond security, these systems optimize network efficiency, reduce false positives, and maintain compliance with regulations like STIR/SHAKEN. Enterprises and carriers that adopt these technologies gain not only protection but also improved operational performance, cost savings, and customer satisfaction.