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Another subject discussed during this 2025 edition of the Mobile World Congress, the rise of digital fraud boosted by AI. Far from rudimentary phishing techniques, cybercriminals are now exploiting advanced AI models to perfect their scams. Deepfakes, vocal identity usurpations, automated telephone fraud: these new tools strengthen the efficiency of scams, making their detection more complex.
Most of the fraud is based today on telephone calls and text messageswhere criminals use spoofing techniques to hide their identity and gain the confidence of their interlocutors. To respond to this threat, Google has developed Scam Detectionan artificial intelligence tool designed to analyze suspicious conversations in real time and alert users before they fell into the trap.
Launched in the United States on Pixel 6 smartphones and subsequent versions, Scam Detection is based on thelive semantic analysis. When a caller encourages his interlocutor to make an urgent transfer of money or to communicate sensitive data, the system triggers a sound and visual alert. This approach is distinguished from traditional antispam protections, which filter communications before their opening but remain ineffective in the face of fraud that evolve over the conversation. Scam Detection operates exclusively locally, without storing or transmitting audio to Google servers, guaranteeing protection of users without compromise on confidentiality.
Beyond telephone calls, Google also extends its detection capacities to Textual messageswith an AI capable of analyzing in real time the content of SMS, MMS and RCS. The algorithm identifies fraudulent schemes, such as employment scams or false delivery advice, and warns users as soon as a suspicious message is detected. Technology, integrated to Google Messagesis activated by default and limits its action to conversations with unknown numbers.
Scamadvis, which collaborates closely with GASA, adopts an additional approach by integrating its anti-fraud capacities directly into financial and telecoms services. Her Software development kit Analysis of telephone behavior and transactional data to identify abnormal activities. This technology is used by leading companies to secure online transactions and anticipate attempts to misappropriate funds.
The magnitude of the phenomenon requires a concerted response between private actors and public institutions. Scams are no longer the prerogative of isolated cybercriminals: they are part of a structured ecosystem, directly linked to organized crime and money laundering. Jorij Abraham, Managing Director of GASA, insists on the need for a Information sharing intersectoral To improve the detection of threats in real time. Banks, telecom operators and digital platforms must coordinate their efforts to identify fraudulent schemes and counter the adaptability of fraudsters.
Another aspect of artificial intelligence which becomes the central confrontation ground Between fraudsters and cybersecurity specialists.
