Scam Detection

Scam detection refers to the use of AI and machine learning systems to identify fraudulent messages, calls, payments, and websites before they cause financial or reputational harm. For enterprises, it matters on two fronts: their own tools can be used to spot scams aimed at customers and employees, and their AI-driven fraud controls must meet regulatory expectations for accuracy, fairness, and customer redress. Recent news in this area often covers deepfake-enabled impersonation, AI-generated phishing, and regulator scrutiny of banks and platforms that fail to act on scam reports.

1 item

Corporate PolicySingapore2026-10-14

Google DeepMind and Singapore's On-Device Scam AI Sets a Privacy-First Deployment Template

Google DeepMind and GovTech Singapore have jointly built a scam-detection AI model that runs entirely on users' devices, meaning neither party can access conversation content. The model was trained using anonymised scam intelligence data, with no personal information included. Deployment follows a phased rollout with user consent requirements and testing in a government-managed cloud environment.

Google DeepMind GovTech Singapore on-device AI privacy-preserving AI scam detection Singapore data minimization public-private partnership