Google DeepMind’s on-device scam detection keeps chats off the cloud

A new on-device scam detection model developed with the Government Technology Agency of Singapore is designed to spot manipulative conversations without sending users’ chats to cloud servers. The system uses local scam patterns to identify threats and warn users before they share sensitive information or money. Key takeaways The model combines a lightweight message classifier with a fine-tuned Gemma model. Conversation access requires user consent, and processing stays on the device. Singapore has recorded more than S$4 billion in scam losses since 2019. Deployment within applications will proceed in phases with the Singapore Government.

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