AI Safety & Cybersecurity
Google DeepMind, Singapore Build On-Device Scam AI
A Gemma model is designed to flag suspicious conversations locally, but rollout details are still pending.

A smartphone displays a caution symbol over a generic messaging screen, illustrating on-device scam detection.
Photo: Kronos News
Google DeepMind and Singapore’s GovTech have developed an on-device AI model intended to detect scams in conversations, keeping message analysis on the user’s phone rather than sending it to external servers, the companies said on October 14. [1] CNA reported the collaboration and said the model is intended for Android devices. [2]
The lightweight Gemma model was fine-tuned on local scam conversations, including impersonations of public institutions and banks. [1] Google describes a two-stage process: a fast classifier screens messages, then the fine-tuned model analyzes a wider conversation snapshot when something appears suspicious. [1] The companies say an app using the model could warn users to pause before sharing money or sensitive information. [1]
The system has not been presented as a generally available service: Google says deployment within applications will be phased with the Singapore Government, while CNA reported that installation and usage details are still to come. [1][2] The announcements provide no detection-accuracy results, so the model’s effectiveness in real-world use remains unestablished. [1]
Editorial notes
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AI assisted drafting. Human edited and reviewed.
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Risk assessment
The model is described by Google DeepMind and Singapore’s GovTech, but it is not yet broadly deployed and the supplied sources provide no performance results.
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Kronos News Desk covers ai safety & cybersecurity and editorial analysis for Kronos News.



