{
  "id": 14353361,
  "title": "Google DeepMind, GovTech developing first-of-its-kind scam detection AI model for Android users",
  "url": "https://urgent.news/2026/10/14/google-deepmind-govtech-developing-first-of-its-kind-scam-detection",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-14T02:51:05.000Z",
  "source": {
    "name": "Straits Times",
    "slug": "straits-times",
    "url": "https://www.straitstimes.com/tech/google-deepmind-govtech-developing-first-of-its-kind-scam-detection-ai-model-for-android-users"
  },
  "original_language": "en",
  "account": "Google DeepMind and Singapore's Government Technology Agency (GovTech) are collaborating to create a unique on-device scam detection model for Android users. According to Mark Chen, director of trust and safety at GovTech, this AI model will alert users in real-time about potential scam attempts without sacrificing their privacy. The AI model, which is currently in the development stage, will analyze text exchanges on messaging apps like WhatsApp and Telegram to detect local scam patterns, including the impersonation of government officials and banks. It will be trained on anonymized datasets of scam reports and stress-tested against synthetic conversations reflecting local speech patterns. Once deployed, the model will only access on-device conversations with user consent, ensuring that neither the government nor Google can access users' conversations. The model's release date has not been announced, and it is unclear if it will become a default feature in Android operating systems. The partnership aims to demonstrate how AI can protect against criminal activity while maintaining privacy, and Google also plans to share its advanced AI cybersecurity tools with the government to help identify and fix vulnerabilities.",
  "summary": null,
  "key_points": [
    "Google DeepMind and GovTech collaborate on AI model for Android scam detection.",
    "Real-time scam alerts without compromising user privacy.",
    "Model analyzes messaging app text exchanges to detect local scam patterns."
  ],
  "editors_take": "Integrating real-time scam detection directly onto mobile devices shifts the burden of digital safety from user vigilance to automated, privacy-preserving AI systems.",
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}