The central government has issued a comprehensive warning about artificial intelligence-driven identity fraud targeting India's banking and fintech sector. According to an advisory issued by the Indian Cyber Crime Coordination Centre (I4C) under the Ministry of Home Affairs, advances in AI are enabling fraudsters to create realistic digital replicas that could potentially bypass facial authentication, liveness verification, video-KYC processes and account recovery mechanisms used by financial institutions. The warning comes as banks and fintech firms increasingly rely on digital onboarding and remote verification tools to onboard customers and provide financial services, creating new vulnerabilities in the digital verification systems.
The advisory reveals that fraudsters typically establish contact through social media platforms, messaging applications, online job portals, dating platforms or phone calls, during which victims may unknowingly share facial data that can later be used to create AI-generated replicas. According to I4C, cybercriminals may use recordings of facial movements, expressions and speech to generate synthetic media capable of imitating an individual's appearance and voice. Such content can then be deployed to attempt to defeat identity verification systems where adequate safeguards are not in place. Successful circumvention of authentication controls could enable fraudsters to complete KYC formalities, activate digital wallets, open financial accounts or gain unauthorised access to existing accounts and services.
According to a global survey by BioCatch that gathered responses from 1,440 fraud-management, anti-money laundering (AML), risk, and compliance leaders across 25 countries, 84% of Indian banking leaders reported rising fraud losses over the past year, significantly higher than the global average of 76%. Among the 100 banking and financial crime prevention leaders surveyed in India, 90% said fraud attempts at their institutions have increased over the past year, substantially higher than the global average of 81%. This represents a sharp rise from 70% recorded in India in the 2025 survey, demonstrating the accelerating nature of fraud challenges in the Indian banking sector. The survey, which included all 100 Indian banking executives holding managerial positions or above, all represented financial institutions with more than $10 million in assets under management, reflecting the views of major banking organizations.
To counter the AI-driven fraud threat, I4C has advised banks, non-banking financial companies and fintech firms to incorporate deepfake detection and synthetic-content identification mechanisms into their customer onboarding and verification systems. The advisory also outlined precautions for consumers, including securing biometric credentials, keeping a close watch on login and authentication alerts, and reporting suspicious financial activity immediately through official cybercrime channels. Users have been advised to contact their telecom service providers if they experience an unexpected disruption in mobile connectivity, which could indicate a fraudulent SIM-swap attempt linked to financial crime. The advisory emphasizes that the guidance is intended to raise awareness about emerging AI-enabled identity fraud techniques and should not be interpreted as indicating vulnerabilities in any specific organisation, platform or service.
The survey highlighted substantial financial losses from fraud activities. About 48% of Indian respondents said their institutions lose more than USD 10 million to fraud annually, with 32% reporting losses exceeding USD 25 million, 16% reporting losses above USD 50 million, and 6% saying losses exceeded USD 100 million each year. Customer losses linked to scams and authorized fraud are also significant, with 58% of respondents estimating their customers lose more than USD 5 million annually to scams, while 44% reported losses above USD 10 million. The findings come amid growing global concerns that advances in generative AI, deepfake technology and automated digital agents could significantly increase the scale, speed and complexity of financial fraud in the years ahead.
