The ongoing struggle against scam calls is reaching a fever pitch, with telecom companies and regulators locked in fraud prevention a high-stakes confrontation. Telecoms argue that they're already deploying robust technologies to thwart the tide of these nuisance calls, pointing to caller ID verification, phone blocking features, and partnerships w

SIM box fraud poses a grave threat to telecom operators worldwide, eroding revenue and jeopardizing network integrity. To effectively combat this illicit activity, a multi-layered approach is essential. This involves implementing robust fraud detection at multiple stages of the telecom lifecycle. First, operators must fortify their subscriber aut

Telecommunication fraud/theft/deceit is a pervasive problem, costing service providers and consumers billions of dollars annually. Machine learning (ML) offers a powerful arsenal to combat this ever-evolving threat. By analyzing vast datasets of call records, network traffic, and user behavior patterns, ML algorithms can identify/detect/uncover ano