Mortgage fraud is on the rise across Australia, with lenders reporting a growing number of loan applications supported by counterfeit payslips and tax documents produced using artificial intelligence tools. The development has reignited a longstanding push by banks to move away from paper-based income verification methods that are increasingly susceptible to digital forgery.

According to reporting by Clancy Yeates, the banks argue that the current system — which relies heavily on payslips and tax returns submitted by borrowers — is no longer adequate to combat sophisticated fraud enabled by generative AI. 'Frighteningly easy' is how one industry source described the ability to create convincing fake documents using off-the-shelf AI software.

The proposed shift would see lenders adopt real-time income verification systems that pull data directly from employers or government records, such as the Australian Taxation Office's Single Touch Payroll system. Banks have also expressed interest in open banking frameworks, which allow secure sharing of financial data with third parties.

However, the move toward more intrusive verification methods raises significant privacy and accessibility concerns. Consumer advocates warn that mandatory digital income checks could disadvantage borrowers without stable digital footprints, such as gig workers, the self-employed, and those in regional areas with limited internet access. There are also worries about the concentration of sensitive financial data within a handful of private platforms.

Regulators are watching closely. The Australian Securities and Investments Commission (ASIC) has flagged mortgage fraud as a priority area, and the Australian Prudential Regulation Authority (APRA) is reviewing the resilience of lenders' verification processes. The challenge for policymakers will be balancing fraud prevention with consumer rights and financial inclusion.

Meanwhile, fraudsters are rapidly adapting. Cybersecurity experts note that as detection methods improve, so too does the quality of AI-generated forgeries. The arms race between lenders and criminals is accelerating, with no simple technological fix in sight.

For the average homebuyer, the broader implication is that mortgage applications may become more data-intensive and less reliant on self-certified documents. While this could reduce fraud-related loan rejections and delays for honest borrowers, it also means a shift toward a more monitored and less private lending environment.