Industry Insights

  • The Essential Guide to Proof of Income Documents in India

    The Essential Guide to Proof of Income Documents in India

    Income is one of those things everyone talks about, but very few verify properly. Whether you’re onboarding a customer, approving a loan, renting out a property, or hiring someone for a financially sensitive role—what you’re really trying to understand is simple: does this person earn what they claim to earn? That’s where Proof of Income…

  • Deepfake Bank Fraud in India: How AI Is Targeting Banks

    Deepfake Bank Fraud in India: How AI Is Targeting Banks

    Fraud has always evolved with technology. But what we’re seeing now feels different. It’s no longer just about fake documents or stolen credentials. It’s about imitation—so real that even trained eyes struggle to tell the difference. A voice that sounds exactly like a customer. A face that looks perfectly legitimate on video. A conversation that…

  • 6 Ways AI is Changing Fraud Detection

    6 Ways AI is Changing Fraud Detection

    Fraud doesn’t look like it used to. There was a time when detecting fraud meant catching obvious red flags—mismatched documents, duplicate identities, or suspicious transactions that stood out clearly. Today, fraud is quieter, faster, and far more adaptive. It blends in. It behaves like a real user. And in many cases, it scales faster than…

  • What Regulators Expect from Onboarding in 2026 

    What Regulators Expect from Onboarding in 2026 

    For a long time, onboarding was treated as a checkpoint. Collect documents. Run a few verifications. Store the records. Move on. Compliance was something you completed at the start of the relationship. That model doesn’t really hold anymore. If you look at how regulatory expectations have been evolving, one thing becomes clear: onboarding is no…

  • What Fragmented Customer Data Is Costing Your Risk Team

    What Fragmented Customer Data Is Costing Your Risk Team

    Most risk teams don’t have a data problem. They have a data fragmentation problem. On paper, everything looks covered. You have identity data, transaction data, device data, bureau data, maybe even behavioral signals layered in. Each system does its job. Each check passes. Each report looks complete. And yet, something still feels off. Fraud slips…

  • The Rise of Synthetic Identities in India’s Lending Ecosystem

    The Rise of Synthetic Identities in India’s Lending Ecosystem

    There was a time when fraud in lending looked obvious. Fake documents. Mismatched details. Profiles that didn’t quite add up.You could spot it if you looked closely enough. That time is gone. What lenders in India are increasingly dealing with today is something far more subtle—synthetic identities. Not entirely fake. Not entirely real. Just real…

  • GenAI in KYC: How Generative AI Is Redefining KYC Process

    GenAI in KYC: How Generative AI Is Redefining KYC Process

    For years, KYC felt procedural. Collect the ID.Verify the details.Run database checks.Approve or reject. It was compliance by design — necessary, regulated, but rarely strategic. Then genAI in kYC arrived, and the ground shifted beneath digital onboarding. Not because regulators changed the rules overnight. Not because APIs evolved. But because the nature of identity itself…

  • Loan Stacking Fraud: Detection Strategies for NBFCs

    Loan Stacking Fraud: Detection Strategies for NBFCs

    Loan stacking rarely announces itself. There’s no dramatic system breach.No forged signature.No obvious identity theft. On paper, the borrower looks fine. The bureau score is acceptable.The income declaration seems reasonable.KYC checks pass. The loan gets approved. Three weeks later, repayment fails. What happened in between is what every NBFC in 2026 needs to understand. What…

  • UPI Fraud Trends: What Banks Need to Watch in 2026

    UPI Fraud Trends: What Banks Need to Watch in 2026

    There was a time when digital payment fraud meant card skimming. Then it meant phishing emails. Then it meant OTP theft. Now it means something subtler. It means social engineering that feels like customer service.It means mule accounts opened cleanly.It means fraud rings that understand UPI rails better than some bank teams do. The speed…

  • Top Signs of Fake Identities in Digital Platforms

    Top Signs of Fake Identities in Digital Platforms

    Fake identities don’t arrive wearing masks. They arrive with perfectly formatted names, clean profile pictures, valid-looking phone numbers, and documents that pass at first glance. They behave like users. They transact like users. Sometimes, they even convert better than real users. And that’s exactly why they’re dangerous. Digital platforms today operate at massive speed. A…