DoorID Launches 70-Second Physical Address Verification to Combat AI Identity Fraud

DoorID has launched a new verification tool designed to confirm a customer’s physical access to a property before high-value transactions occur. By integrating location presence with identity checks, the platform aims to combat the rising tide of sophisticated identity fraud and AI-generated spoofing that bypasses traditional document-based onboarding processes.

What was announced

The DoorID platform provides lenders and businesses with a guided smartphone check that connects a specific individual to a physical property. The service is designed to be used at critical points in the customer journey, such as immediately before the release of funds or goods. By requiring live evidence of physical access, the system adds a layer of security that complements existing identity and fraud protocols.

The check is delivered via a link to the customer’s mobile browser, removing the need for a dedicated app download. The process takes approximately 70 seconds and aggregates data on identity, location presence, capture integrity, and property evidence. Upon completion, the business receives a "Pass," "Refer," or "Fail" result alongside a tamper-evident evidence pack. This allows firms to choose exactly where the check sits in their onboarding journey. All verification data is processed in accordance with UK GDPR standards.

The development of the tool was prompted by an incident at the founders' car finance brokerage, where a customer used generative AI to create a fake image of an open front door to simulate being at home. This highlighted a vulnerability in visual evidence; the DoorID team subsequently demonstrated that a driving licence photograph could be manipulated using basic AI tools in just 28 seconds. The exercise illustrated how easily AI can manipulate visual evidence, though it was not a test of whether the altered image would pass a lender’s specific checks. This launch comes as Cifas reports that identity fraud accounted for 59% of the 220,000 fraud-risk cases recorded in the UK during the first half of 2026, with impersonation using a victim’s current address increasing by 12% compared with the same period in 2025.

"She was a genuine customer who simply wasn’t at home, and she’d used AI to make a picture of an open door. If someone would do that for convenience, we had to ask what a determined fraudster would do."

Paul Williams, founder of DoorID

The companies involved

DoorID was founded by Paul Williams and Iain Williams. The concept for the technology originated from their experiences operating Quick Car Finance, a car finance brokerage based in Bournemouth that employs approximately 60 people. The founders identified a gap in the market where traditional document checks failed to prove that a person could actually access the address they provided during the application process.

Paul Williams brings significant industry experience to the venture, currently serving as a Non Executive Director at Ripe Thinking Limited in addition to his leadership role at DoorID. Iain Williams serves as Co-founder of the new entity. The company positions itself within the regtech and fraud prevention sector, focusing on "intelligent friction"—the application of specific, rapid checks at high-risk moments to protect both the business and the genuine customer from the increasing prevalence of impersonation fraud and address-based identity theft. This approach reflects a growing trend in fintech where specialized tools are developed to solve niche vulnerabilities exposed by the rapid digitization of financial services and the emergence of accessible AI tools.

What this means

The launch of DoorID signals a shift in the identity verification market away from static document validation toward real-time physical presence. As generative AI makes it increasingly simple to spoof driving licences and utility bills, the industry is under pressure to find "liveness" indicators that cannot be easily replicated by an algorithm. The 12% increase in impersonation fraud using a victim’s current address, as noted by Cifas, suggests that traditional KYC hurdles are no longer sufficient to deter determined actors. The challenge for the sector now is whether customers will accept this additional layer of "intelligent friction" or if it will lead to increased abandonment rates in digital-first onboarding. Lenders must balance the need for security against the demand for a seamless user experience, but the rise of AI-driven fraud may soon make such friction a mandatory component of any robust risk management strategy.