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Google DeepMind and Singapore develop an on-device scam model

Google DeepMind and GovTech Singapore say they have fine-tuned a Gemma model for on-device scam detection, with deployment planned in phases through participating applications.

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Singapore-themed artwork from Google DeepMind's on-device scam detection announcement
Google DeepMind's Singapore scam-detection project · Credit: Google DeepMind View source

Google DeepMind and Singapore's Government Technology Agency (GovTech) announced on October 14 that they have fine-tuned a lightweight Gemma model to detect locally relevant scam conversations. The project targets investment fraud, fake job offers and impersonation schemes that rely on sustained social engineering.

Phased app integrations, with consent

Google describes a two-stage process: a lightweight classifier screens incoming messages, and the fine-tuned Gemma model reviews suspicious conversations for manipulative patterns. The companies say any application rollout will be phased and that on-device processing would require the user's consent under the application's terms.

This is a development and partnership announcement, not confirmation of a broad public launch. The privacy and detection claims are described by Google DeepMind; no independent accuracy evaluation or deployed-app test was included in the announcement.

Sources