{
  "id": 12863331,
  "title": "IIT Delhi, I4C, Amazon launch ‘Raksham’ AI cybersecurity hackathon to tackle deepfakes, online fraud",
  "url": "https://urgent.news/2026/10/08/iit-delhi-i4c-amazon-launch-raksham-ai-cybersecurity-hackathon-to",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-08T11:44:32.000Z",
  "source": {
    "name": "The Indian Express",
    "slug": "the-indian-express",
    "url": "https://indianexpress.com/article/education/iit-delhi-i4c-amazon-launch-raksham-ai-cybersecurity-hackathon-to-tackle-deepfakes-online-fraud-10912501/"
  },
  "original_language": "en",
  "account": "The Indian Institute of Technology in Delhi has teamed up with the Indian Cybercrime Coordination Centre and Amazon to launch a national-level hackathon called Raksham, according to report <source 1c5f9b2e-f57>. The hackathon aims to develop AI-powered solutions to tackle cyber threats such as voice-cloning scams, deepfakes and online fraud. The event will be organized by IIT Delhi's student technical clubs Aries IITD and Dev Club and will accept registrations and concept submissions until October 12. All undergraduate or postgraduate engineering students are eligible to participate in teams of two to four members. Teams will be judged on technical architecture, real-world feasibility, responsible AI practices, and their potential to protect millions of Indians from evolving cyber scams and frauds. The top 30 teams will compete in a 48-hour in-person finale on October 24-25, where they will need to build, test, and demonstrate their prototypes before an expert jury. The winner teams will have the opportunity to showcase their solutions at Amazon Sambhav 2026. This initiative comes at a time when the festive shopping season is approaching, providing opportunities for fraudsters amidst increased digital activity and consumer transactions. The initiative also strengthens the collaboration between I4C and Amazon under #ScamSmartIndia.",
  "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."
}