Can banks outsmart AI-driven fraud before it’s too late?
A recent report by the Reserve Bank of India (RBI) has sounded the alarm on the rapid rise in bank fraud cases.
Between April and September 2024, 18,461 frauds were reported, involving a staggering ₹21,367 crore—an eightfold jump compared to ₹2,623 crore last year.
The number of cases, too, has surged by nearly 28%. Beneath these numbers lies a growing threat that financial institutions are struggling to counter: sophisticated fraud in loan applications.
Identity fraud is at the heart of this crisis, with fraudsters pretending to be genuine applicants to get loans. Digital onboarding has improved with Aadhaar-based OTP verification and face-matching technology, strengthening security. However, fraudsters are adapting just as fast.
Today, digital applicants must verify their presence in real-time by matching a live selfie with their Aadhaar photo. Yet, as financial institutions tighten security, fraudsters continue to innovate, finding new ways to bypass even the most advanced safeguards.
Also read: India’s KYC crisis: A bank dedicated to welfare payments could resolve it
Deep fakes, powered by artificial intelligence, are now being used to bypass even the most advanced verification systems. These hyper-realistic videos and images mimic genuine applicants, deceiving digital platforms designed to authenticate identities.
Synthetic identities, fabricated profiles built by blending real and fake information, are also on the rise. Last but not the least, mule accounts, are increasingly being used to launder the proceeds of financial crime.
Offline onboarding processes, often devoid of these advanced fraud checks, exacerbate the problem at times. Fraudsters target institutions that rely on less rigorous manual
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