{
  "id": 6445576,
  "title": "UIDAI using AI extensively to detect fraud",
  "url": "https://urgent.news/2026/09/09/uidai-using-ai-extensively-to-detect-fraud",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-09T16:06:12.000Z",
  "source": {
    "name": "The Economic Times",
    "slug": "the-economic-times",
    "url": "https://economictimes.indiatimes.com/ai/ai-insights/uidai-using-ai-extensively-to-detect-fraud-chairman-neelkanth-mishra/articleshow/133975532.cms"
  },
  "original_language": "en",
  "account": "The Unique Identification Authority of India (UIDAI) is heavily utilizing Artificial Intelligence (AI) to detect and prevent fraudulent activity, according to Chairman Neelkanth Mishra. Speaking at the Global Fintech Fest 2026, Mishra described the battle against fraud as a \"cat-and-mouse\" game, emphasizing that while fraudsters become more sophisticated, UIDAI is also ramping up its efforts to stay ahead. Before AI became a popular term, UIDAI was already implementing liveness tests for facial recognition and thumbprints to combat fraud. Mishra highlighted the exponential growth in Aadhaar usage, noting that daily authentications have surged from around seven crore (in his initial comments) to 10 crore, and they are planning to scale up to 25-30 crore daily authentications. Currently, UIDAI processes 10 crore Aadhaar authentications daily, a figure that is rapidly increasing. This surge in usage reflects the widespread need for identity verification in various sectors, including banking and telecom, where over 600 entities now leverage Aadhaar for authentication. Looking ahead, Mishra anticipates a significant rise in the use of AI agents for authentication tasks within the next three years. He envisions a future where individuals may delegate authentication responsibilities to AI agents, potentially enabling applications that are currently unimaginable. To support this technological advancement, UIDAI launched the Aadhaar Face Authentication SDK (Software Development Kit) and Aadhaar Face Authentication Sandbox at the Global Fintech Fest 2026. The SDK allows ecosystem partners to integrate, test, and deploy Aadhaar Face Authentication within their digital applications more seamlessly, integrating AI/ML-based liveness and anti-spoofing capabilities directly into native Android and iOS applications. By eliminating the need for users to switch between applications, the SDK provides a smoother, single-app authentication experience. Moreover, the Aadhaar Face Authentication Sandbox offers a secure and controlled environment for developers and quality assurance teams to integrate, test, and validate the entire Face Authentication process before full production deployment. This launch addresses the demand from the fintech and banking sectors for a more streamlined and secure onboarding experience for users within their own mobile applications.",
  "summary": null,
  "key_points": [],
  "editors_take": null,
  "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."
}