India , 25th August 2025: As India accelerates its digital onboarding of financial customers, it also faces an invisible threat – synthetic identity fraud powered by deepfakes. A 700% rise in such attacks in 2023 alone has prompted security experts and fintech leaders to urge for immediate reinforcement of India’s Video KYC protocols. OnGrid, a leading digital trust platform, is sounding the alarm and offering a tech-forward solution that not only meets compliance but actively prevents identity spoofing.
“The future of financial fraud is synthetic. Without native deepfake detection and anti-spoofing layers, companies are only protecting themselves on paper—not in practice,” said Vaibhav Yadav, Product Head at OnGrid.
Deepfake technology has become commoditized, with over 2,000 facial manipulation tools, 1,000 voice-cloning apps, and dozens of KYC bypass kits available on underground markets. These tools allow imposters to masquerade as legitimate users, create synthetic identities, or launch replay attacks often with little technical expertise required. What once took expertise and resources can now be executed in minutes at negligible cost.
Despite RBI’s digital push, gaps remain: no regulatory definition of deepfake fraud, no mandatory reporting of spoofing incidents, and underinvestment in anti-spoofing infrastructure.
OnGrid’s Smart Video KYC directly addresses this challenge by embedding:
● Active and passive liveness detection
● Real-time facial and voice-video synchronization checks
● AI anomaly detection in biometrics
● Device and geolocation audit trails
“Anti-spoofing must be embedded at the protocol level, not just layered on top as a cosmetic add-on,” said Vivek Kumar, Product Manager at OnGrid.
OnGrid is urging regulators to classify synthetic identity fraud, mandate anti-spoofing in Video KYC, and enable sector-wide threat intelligence sharing. Initiatives like OnGrid’s advanced deepfake & spoof-resistant video KYC demonstrate that robust defenses are possible, if institutions are willing to invest ahead of the threat curve.