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Introduction

India is witnessing an alarming escalation in cyber frauds, with financial losses touching ₹22,845 crore in 2024, marking a 206% rise from the previous year. Simultaneously, cybercrime cases surged by 500% between 2021 and 2024, highlighting the scale of vulnerability posed by AI-driven scams and deepfakes.

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Reasons behind the rise of digital scams leveraging emerging technologies

• AI-enabled Deepfakes: Scammers use AI tools to create realistic videos and voices of trusted public figures, misleading people into fraudulent schemes.
  Eg: A retired doctor in Chennai lost ₹7-20 lakh after a deepfake of Finance Minister Nirmala Sitharaman promoted a fake investment scheme.
• Low technical literacy among the general population: Many users cannot spot online manipulation, making them vulnerable to high-return scams.
• Regulatory Gaps: Emerging areas like cryptocurrencies lack clear classification and regulation, creating a legal grey zone for scammers.
  Eg: Scammers exploit the confusion over whether crypto is regulated by RBI (currency) or SEBI (security).
• Platform Passivity: Social media platforms often act reactively, taking action only after fraud is reported instead of preventing it proactively.
• Cross-border Operations: Many fraud networks are based in foreign hubs like Myanmar, Thailand, and Colombia, making domestic enforcement challenging.

Multi-stakeholder approach to strengthen cybersecurity in the digital economy

• Government – Clear Crypto Regulation: The government must clarify the legal status of cryptocurrencies and build safeguards to prevent misuse.
  Eg: A clear framework by RBI and SEBI would reduce the exploitation of crypto for Ponzi-style scams.
• Government – Cross-border Cooperation: International treaties and cooperation with countries housing fraud syndicates are crucial for effective law enforcement.
• Public – Digital Literacy Campaigns: Cyber hygiene and critical thinking should be taught in schools and public campaigns.
  Eg: A nationwide slogan like “Jaago Digital Grahak Jaago” can replicate the success of consumer awareness drives.
• Platforms – Proactive AI Detection: Platforms should employ AI detection tools to pre-screen and block deepfake content before it spreads.
  Eg: Just as YouTube uses AI to detect copyright violations, the same can be applied for fake finance videos.
• Platforms – Greater Accountability: Treating platforms as publishers rather than neutral intermediaries would make them accountable for hosted content.

Conclusion

The spread of AI-driven scams endangers financial security and weakens trust in digital systems. Incidents like the deepfake fraud using the Finance Minister’s image highlight this risk. A joint effort by government, platforms, and citizens is vital to build strong safeguards and protect India’s digital economy from such threats.

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