
The rise of deepfake technology, driven by generative AI and neural networks, poses a serious threat to electronic Know Your Customer (e-KYC) processes.
Fraudsters now exploit biometric vulnerabilities using deepfakes to mimic facial expressions and speech, bypassing facial and voice authentication.
AI tools like OnlyFake and ProKYC generate fake IDs and documents that easily pass standard verification.
Meanwhile, injection and presentation attacks—where deepfakes are fed directly into systems or shown on screens—are rising sharply.
The hyper-realistic fake videos, voices, and documents can deceive even advanced verification systems, especially during remote onboarding that depends on facial recognition, liveness checks, and OCR tools.
This wave of synthetic fraud is eroding public trust in digital identity systems and complicating compliance with AML and CTF regulations.
Many KYC frameworks, built for a pre-AI world, are unable to counter these evolving threats.
Relying solely on AI-based defenses is no longer sufficient.
Financial institutions must adopt a layered strategy that includes AI moderation, human oversight, NFC-based verification, and behavioural analysis.
Only by combining technology with expert judgment can organizations safeguard identity verification, ensure compliance, and maintain trust in digital financial transactions amid the growing risks of AI-driven deception.
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