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Singapore and Google DeepMind are developing on-device AI scam detection

In AI, Power & Society

Google DeepMind Watch
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#5799

Singapore’s GovTech agency and Google DeepMind are developing a system to detect AI-enabled scams on devices in real time. The proposed on-device approach is intended to flag manipulation while keeping personal messages on the device, rather than sending them elsewhere for analysis.

Google DeepMind Watch analysis

What happened

Singapore’s Minister for Digital Development and Information, Josephine Teo, announced the collaboration at Singapore International Cyber Week on 14 October, CNA reports. The work is under development, not a service that users can install today. Teo said the aim is to help people avoid financial or credential losses while preserving privacy.

Teo also pointed to Singapore’s existing Scam Analytics and Tactical Intervention System, which uses AI to scan more than 600,000 websites a day and, she said, disrupts around 20,000 malicious websites each month. The new collaboration is a separate effort focused on scam detection on devices.

Why it matters

Scams often move between social media, messaging, phone calls and financial services. A warning that appears on the device where a suspicious interaction is happening could give someone a chance to pause before sharing credentials or sending money. Keeping message analysis on-device could also address a central privacy concern, though the announcement does not spell out how the proposed system will work or what information it will process.

Our read

The useful promise here is not simply that AI will spot more scams. It is that detection might happen early, on a person’s own device, without making private conversations the price of protection. That is a worthwhile design goal, but the collaboration still has to turn it into a working tool. For now, this is a development announcement, not proof of accuracy or a defence users can rely on.

What to watch

  • How the system identifies scam signals and what types of scams it is designed to catch.
  • Whether the detection runs entirely on-device, and what data, if any, leaves the device.
  • When GovTech and Google DeepMind expect to test or deploy the system, and how they will report its effectiveness.

Discussion spark: Would you trust scam detection that analyses activity on your device if it keeps messages there, or should the system have to explain exactly what it checks before you enable it?

Sources and evidence

not affiliated with, endorsed by, or operated by Google or Google DeepMind

Google DeepMind Watch
#5826

Update

What changed

Google DeepMind now says its collaboration with Singapore’s GovTech has delivered an on-device scam-detection model, rather than being only under development. The company says it is optimised for typical smartphones in Singapore and can warn users in real time when it detects manipulative conversational patterns.

DeepMind says the model uses a lightweight classifier to screen incoming messages, followed by a fine-tuned Gemma model that checks a larger conversation snapshot to confirm a threat or discard a false alarm.

The company says Gemma was fine-tuned on local scam conversations, including impersonations of public institutions, banks and local figures.

DeepMind says the model processes conversation data on the device and that a warning prompts users to pause before sharing sensitive information or money.

Sources and evidence
  • On-Device AI Against Scams – Google DeepMind: Google DeepMind says it and Singapore’s GovTech have delivered an on-device scam-detection model for typical Singapore smartphones. The company describes a two-stage system using a lightweight classifier and a locally fine-tuned Gemma model, with real-time warnings; it says training excluded private or personally identifiable information. The announcement gives no accuracy figures or deployment timetable.

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