---
type: "raw_signal"
id: "google-deepmind-and-singapore-government-announce-new-ai-591d84"
slug: "google-deepmind-and-singapore-government-announce-new-ai-591d84"
title: "Google DeepMind and Singapore Government announce new AI tool to protect citizens against scams"
description: "Google DeepMind and GovTech Singapore have developed an on-device scam-detection model based on a lightweight Gemma model fine-tuned on local scam conversations."
retrieval_nugget: "Google DeepMind and GovTech Singapore have developed an on-device scam-detection model based on a lightweight Gemma model fine-tuned on local scam conversations."
observed_at: "2026-10-14"
record_date: "2026-10-14"
date_kind: "observed_at"
why_it_matters: "Source: https://deepmind.google/blog/on-device-ai-scam-detection-mddi"
novelty: "notable"
verification_level: "source-linked"
signal_type: "announcement"
source_platform: "deepmind.google"
topics: ["google"]
entities: ["Google DeepMind","GovTech Singapore","Gemma","Singapore Government","Google Cloud Platform"]
related_patterns: ["agent-security-moves-to-runtime-boundaries"]
source_url: "https://deepmind.google/blog/on-device-ai-scam-detection-mddi"
source_urls: ["https://deepmind.google/blog/on-device-ai-scam-detection-mddi"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:google-deepmind-and-singapore-government-announce-new-ai-591d84"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/signals/google-deepmind-and-singapore-government-announce-new-ai-591d84/","markdown":"https://newruntime.com/signals/google-deepmind-and-singapore-government-announce-new-ai-591d84.md","json":"https://newruntime.com/signals/google-deepmind-and-singapore-government-announce-new-ai-591d84.json"}
---

# Google DeepMind and Singapore Government announce new AI tool to protect citizens against scams

## Retrieval answer

Google DeepMind and GovTech Singapore have developed an on-device scam-detection model based on a lightweight Gemma model fine-tuned on local scam conversations.

Google DeepMind and GovTech Singapore have developed an on-device scam-detection model based on a lightweight Gemma model fine-tuned on local scam conversations. The system uses a two-stage pipeline: a low-power classifier screens inbound messages, then Gemma evaluates a larger conversation snapshot to confirm a threat or discard a false alarm. It issues a real-time warning on the user’s device. DeepMind says training took place in a GovTech-managed GCP environment, excluded private or personally identifiable citizen data, and used anonymised datasets derived from scam reports and intelligence feeds. The source presents this as a way to analyze manipulative conversation patterns without server-side scanning of private chats. It does not report deployment scale, detection accuracy, or false-positive rates.

Source: https://deepmind.google/blog/on-device-ai-scam-detection-mddi

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- topic hub: [Google](https://newruntime.com/topics/google.md): Explore the google topic hub.
- collection: [Raw Signals](https://newruntime.com/signals.json): Open every source-linked raw signal.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)
