AI-generated tenant fraud exposes landlords to billions in losses

AI-generated tenant fraud exposes landlords to billions in losses

Fraudulent tenancy applications using AI-generated fake documents are costing the UK private rented sector up to £4.1 billion annually, according to recent research. The rise in sophisticated identity fraud poses a growing risk for landlords and letting agents.

New data from Goodlord reveals that AI technology is enabling fraudsters to create entire fake identities, including forged payslips, references and IDs. This trend has led to a sustained increase in suspected tenancy fraud despite some recent improvements in detection rates.

Between July 2025 and June 2026, 41 out of every 1,000 tenant references were flagged for suspected fraud. Although this is a slight decrease from a peak in late 2024, the overall incidence of suspected fraud increased by nearly 40% in 2025 compared to the previous year. The average direct financial loss per fraudulent tenancy is estimated at £9,601, factoring in legal costs, rent arrears, void periods and property damage.

Details of the fraud and regional hotspots

Goodlord’s analysis, based on over a million tenant references over two years, highlights that fraud is not evenly distributed across the UK. London emerged as the primary hotspot for confirmed cases of tenant fraud. The data indicates a shift from isolated forged documents to comprehensive fake identities that combine false employment, doctored identification, and invented referees to bypass referencing checks.

This evolution in fraud techniques is largely driven by advances in AI, which make it easier and faster to generate convincing fake documents. The sophistication of these fraudulent applications presents new challenges for landlords and letting agents who rely on traditional referencing methods.

Context of tenancy fraud in the UK private rented sector

Tenancy fraud has long been a concern for landlords, but the integration of AI tools has escalated the scale and complexity of the problem. The private rented sector, with an estimated 5.3 million households, is particularly vulnerable given the volume of tenancy applications processed annually. Many landlords and agents still depend on manual or semi-automated checks that can be circumvented by increasingly realistic fake documentation.

Although some technological solutions and enhanced referencing services have been introduced, the pace of AI development means that fraud detection systems must continually adapt. The financial impact of fraud extends beyond immediate losses, affecting landlords’ ability to maintain rental income and manage their portfolios effectively.

Practical implications for landlords and letting agents

Landlords and agents face heightened risks and must strengthen their due diligence processes. This includes adopting more sophisticated identity verification tools, cross-referencing multiple sources of information, and remaining vigilant for signs of fabricated documents. Regularly updating referencing procedures to incorporate AI detection capabilities is becoming essential.

Additionally, when fraud is suspected, landlords should promptly report incidents to the police and Action Fraud to assist in investigation and potential prosecution. Early detection and reporting can mitigate losses and help protect the wider sector from fraudulent activities.

Remaining uncertainties and future considerations

While the current data provides a stark picture, the true extent of AI-enabled tenancy fraud may be underreported due to detection challenges. The evolving nature of AI tools means fraudsters could develop even more sophisticated methods, complicating verification efforts further.

It remains unclear how government regulation or industry standards will adapt to address AI-driven fraud specifically. Landlords and agents should monitor developments closely, including any new guidance or legal obligations related to tenant referencing and fraud prevention.

Steps landlords should take now

• Review and enhance tenant referencing procedures with a focus on AI-detection capabilities.
• Use multiple verification sources to confirm tenant identities and employment.
• Stay informed about the latest fraud trends and technological solutions.
• Report suspected fraud cases immediately to law enforcement and relevant authorities.
• Consider professional advice or services specialising in fraud prevention for lettings.

Supporting landlords with fraud prevention and compliance

The Landlord Association (TLA) offers members access to compliance resources and practical information to help manage risks associated with tenancy fraud. Through TLA’s BETA testing of ORBIT, a new property management and compliance platform, landlords and letting agents can organise tenant documentation, record key actions and communications, and monitor regulatory updates related to fraud and referencing procedures.

ORBIT’s developing AI assistant aims to support users in maintaining accurate records and identifying potential compliance issues early. TLA membership provides ongoing support to review and update referencing practices in line with technological advances and sector developments. Explore TLA member compliance support and learn more about ORBIT BETA access to strengthen your fraud prevention measures.

Looking ahead, landlords must remain proactive in adapting to AI-driven fraud risks to protect their investments and ensure secure lettings. Keeping abreast of technological and regulatory changes will be vital in mitigating losses and maintaining confidence in the private rented sector.

Sources: Letting Agent Today