Fraud is the most commonly experienced crime in the UK, accounting for over 40% of all recorded offences in England and Wales. As financial services continue to scale digitally, fraudsters are increasingly targeting non-transactional moments,  such as identity verification and account maintenance, where confidence must be established without introducing friction for genuine users.

For Moneybox, maintaining strong fraud controls across sensitive account changes is critical to protecting customers while preserving a seamless user experience. These moments require a high degree of assurance in the authenticity and integrity of user-submitted financial documents, often under time pressure and at scale.

However, document fraud has evolved rapidly. Modern fraudulent files are no longer crude or visually suspicious; they are professionally formatted, internally consistent and increasingly difficult to distinguish from genuine documents. While experienced human review remains valuable, relying on manual assessment alone becomes harder to scale safely as volumes grow and fraud techniques advance.

Moneybox needed a solution that could strengthen document trust during higher-risk workflows, adding deeper analysis without introducing unnecessary friction for legitimate users.

Example 1: Deleted page in a Monzo statement restored

A key capability Fraudfinder provides is the ability to detect when data within a document has been edited, removed, or obscured. In certain cases, Fraudfinder can surface previously deleted information within a file, providing a clear audit trail of what has changed between the original document and the version submitted for review.

In the example below, the data highlighted in blue represents content that was originally present in the document but later removed prior to submission. In this case, an entire Monzo savings pot was deleted from the statement before it was shared with Moneybox.

Fraudfinder does not speculate on intent. Its purpose is to identify document tampering in under five seconds per check and present clear evidence to support a more informed decision. By providing deeper visibility than manual review alone, Fraudfinder enables MoneyBox and similar fintechs to assess risk more accurately and consistently.

In this example, Fraudfinder identified several high-risk indicators within a Monzo current account statement. Two of which we detail below.

First, Fraudfinder ran a Confirmation of Payee (CoP) check against the account details present in the document. The check found that the account holder's name did not match the associated sort code and account number, indicating a potential mismatch between the stated identity and the underlying bank account.

Secondly, Fraudfinder’s font analysis detected formatting inconsistencies within the transaction list. The font highlighted in yellow is not consistent with genuine Monzo statements, suggesting that elements of the transaction history may have been inserted or modified.

Again, the font overlay helps us spot glaring errors in the transactions. Where we’ve placed the red arrow shows hidden data. Beneath the remnants of an old transaction, ‘88’ can be identified. Darker yellow patterns across the transaction list highlighted where changes have been made. These anomalies, combined with alignment irregularities across the transaction table, strongly indicated that the document had been edited prior to submission.

Any mortgage lender/broker, fintech, electronic money institution or savings provider can trial Fraudfinder for free and strengthen document verification across key customer journeys. To book a demo, either click here, or email harry.foster@fraudfinderai.com.

Whether you offer mortgages, business financing, asset finance or consumer loans, with Fraud Finder you can prevent the risk of lending fraud.