As mortgage fraud becomes more sophisticated, brokers are being forced to rethink how they detect and defend against it.
The rise of artificial intelligence has not only made scams more convincing, but also harder to identify using traditional checks. What was once limited to altered documents has evolved into something far more complex.
“Fraud is no longer just about fake documents,” Michael Richardson, co-founder and chief executive of Cynario, an AI platform for brokers, told Australian Broker. “AI now has the capability to create entirely believable fraudulent narratives, including highly realistic bank statements, payslips and details to fit a scenario.”
Richardson added that his firm is not only seeing an increase in the amount of fraud, but also "a significant spike in the level of sophistication behind fraudulent activity.
"The exponential advancements of AI technologies has meant the barrier to entry is lower, while also becoming faster and scalable," he explained.
For brokers, that shift raises a pressing question: if fraud is becoming harder to spot, what practical steps can be taken to stay protected?
In Australian Broker's multi-part series, we ask some of the industry's major players, including lenders and brokers, to understand how they are responding and what steps can be taken to protect against emerging risks.
Co-founder and chief executive officer of Cynario, an AI-platform for brokers
"Fraud is no longer just about fake documents. And AI-generated fraud is scalable across all loan and borrower profiles. You could argue that older demographics who aren’t as aware of AI advancements may be at a higher risk. However even the most vanilla deal can be manipulated convincingly.
AI now has the capability to create entirely believable, fraudulent, narratives, including highly realistic bank statements, pay slips and details to fit a scenario. Overly-perfect documents, reluctance from clients to provide additional information, subtle formatting inconsistencies and unusual client urgency could be potential red flags. Looking for consistency over time, asking deeper client questions to stress-test if their story aligns and cross verifying information are all ways to not only protect clients doing the right thing, but to help protect the broker as well.
The focus shouldn’t be on fear; it should be on education and adaptation. As an industry, we have a responsibility to continuously educate ourselves, strengthen our processes and evolve our systems in line with the new level of risk."
"AI is unlocking new levels of efficiency and productivity, and brokers across Australia are embracing new technologies. However, as technology advances, cybercriminals are also becoming more sophisticated. Cybercrime and scams continue to evolve rapidly, posing real risks for small businesses and brokers alike.
The first and most powerful step is prevention. For brokers, understanding these risks and recognising early warning signs is critical to protecting their businesses and customers. There are clear actions brokers can take, including educating staff and customers, checking email settings, using multi-factor authentication and building a strong, cyber-aware culture so people know how to spot potential threats and how to respond.
Co-founder and director at Darwin-based Bliss Home Loans
"The main thing for brokers to protect ourselves is to use all the systems that we are given by our aggregators and follow the correct compliance.
Also, always identify everyone in the correct manner. Always verify someone’s payslips with their bank accounts and use the bank statement links, or have the client log in while with you to download statements. And collect all data yourself; don’t allow a referrer to be providing you with any of the documents that you need. AI is allowing fraudsters to generate documents that look real, to get the job done. But if you follow all the correct steps, anything that doesn’t smell right turns up pretty quickly."
National sales manager at MA Money
"AI is making fraud faster, more convincing and much harder to detect. For brokers, the shift is from ‘does this look right?’ to ‘does this make sense?’ It’s about pressure-testing the story, not just the documents. Brokers play a critical role as the first line of defence. But they’re not alone. Working closely with lender partners and taking the time to properly validate applications is key.
We've always focused on understanding the full story behind an application rather than relying solely on documents. In an AI-driven environment, that common-sense approach to credit assessment is more important than ever.”
Founder and manager director at Sydney-based Bayside Residential and Commercial Mortgages
"AI-driven fraud is rapidly evolving and is becoming a very real risk across the lending and broking landscape. While the technology brings efficiency, it also lowers the barrier for more sophisticated scams, particularly in areas such as identity manipulation, document falsification and social engineering.
From a broker’s perspective, there are several key considerations to stay protected. First, heighten verification processes. Brokers should not rely solely on digital documentation. Independent verification of identity, income and supporting documents is becoming increasingly important, particularly where applications appear unusually clean or time-sensitive. Second, awareness of deepfake and synthetic identity risks. AI can now generate highly convincing fake IDs, voice recordings and even video interactions. A healthy level of skepticism and cross-checking is essential. Third, brokers should strengthen internal controls. This includes multi-factor authentication, secure communication channels and strict access controls within broker platforms and CRM systems. Fourth, ongoing training and vigilance. Teams should be regularly trained to recognise emerging fraud patterns and escalation procedures should be clear and immediate. Finally, there needs to be lender collaboration. Brokers should work closely with lenders to understand updated fraud detection measures and ensure alignment with best practices.
Ultimately, while AI introduces new risks, the fundamentals remain the same: know your client, verify independently and never bypass the process for the sake of speed. Strong governance and a cautious mindset are the best defenses."
