
Last year, financial losses from scams and APP fraud in South Africa approached three billion rand, highlighting the growing risks faced by consumers and businesses. In response, South African banks and mobile operators have rolled out Scam Signal, a platform designed to identify and prevent high-risk payments before they leave customer accounts. With the prevalence of social engineering and authorised push payment fraud on the rise, the need for real-time verification and monitoring has never been greater.
Scam Signal allows financial institutions to detect transactions linked to potential scams by combining network intelligence with customer and payment data. It flags suspicious patterns, such as urgent payment requests or impersonation of trusted organisations, and provides banks with tools to alert customers or block payments when necessary. The system also integrates real-time identity verification, SIM-swap detection, and predictive fraud-risk scoring, giving banks a structured way to mitigate losses from APP fraud.
Research shows that APP fraud often exploits digital channels, including phone calls, messaging apps, and social media, with victims voluntarily authorising payments under pressure. While banks are implementing more robust detection methods, consumers remain vulnerable when they do not verify payment recipients or confirm the legitimacy of requests. Studies suggest a significant portion of digital banking users fail to cross-check account information, leaving millions exposed to scams.
Brian Gorman, Fintech Lead at GSMA, said: “Scam Signal demonstrates how cross-industry collaboration can strengthen defences against financial crime. By sharing insights between banks, mobile operators, and analytics providers, we can identify suspicious activity in real time and reduce losses for both consumers and institutions.”
The message is clear: whether it’s a banking transfer, investment, or other financial service, verifying transactions and maintaining vigilance are now essential to combat APP fraud and protect against financial crime. Combining predictive analytics, alerts, and consumer awareness forms the frontline defence against increasingly sophisticated scams.
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