ALT How digital lenders are minimizing credit risk by detecting fraud in bank statements Digital lenders depend on bank statements and financial records to assess creditworthiness. The challenge for lenders is whether the documents are reliable, especially when provided by the customers.

ALT Digital lending has scaled faster than traditional risk controls Today, underwriting decisions are made remotely, instantly, and at volume. But the core input remains the same: bank statements and financial documents. In some cases, these are submitted by the loan applicants. And if the document is compromised, the credit decision is compromised.

ALT In digital workflows, lenders do not always control the source of the document Credit applicants may subtly actual documents issued by their banks or other institutions to look better on applications. Credit applicants may create authentic-looking documents using Generative AI and pre-existing templates. These changes are often subtle and difficult to detect manually

ALT Manually reviewing documents submitted by loan applicants results in: Slower creditworthiness assessment process Higher operational costs Inconsistent decision quality Increased exposure to income misrepresentation fraud