Catch tenant application fraud with AI

• Rental History: Reviewing past rental agreements, eviction records, and references from previous landlords to assess reliability and behavior as a tenant.
• Financial Stability: Checking credit reports to gauge financial responsibility, including payment history and outstanding debts.
• Criminal Record: Investigating any criminal history to ensure the safety of the property and its residents.

Tenancy fraud refers to the illegal occupation or misuse of rental properties. It typically involves tenants providing false information to secure a tenancy, but more cases of fraud involving tenants exist. Common forms of tenancy fraud include:

• Application Fraud: Providing false information on housing applications to gain priority or secure a tenancy. For example, they could manipulate financial documents like pay stubs and bank statements to appear credible.
• Use of Fake Identities: Fraudsters often create or use fake identities to apply for rental properties. This can involve presenting doctored documents such as passports, driver's licenses, or utility bills that appear legitimate but are actually fabricated.
• Identity Theft: In some cases, potential tenants may steal someone else's personal information to apply for housing. This can include using stolen social security numbers or other identifying details to impersonate another individual, thereby gaining access to rental properties unlawfully.
• Succession Fraud: Wrongfully claiming a tenancy after the original tenant's death.
  
• Unlawful Subletting: Renting out the property to someone else without the landlord's consent.
• Key Selling: Selling access to the property to unauthorized individuals after moving out.

Tenancy fraud involving fake identities or identity theft is a growing concern in the rental market. This type of fraud occurs when individuals use stolen or falsified personal information to secure rental agreements.

Tenancy fraud is a significant issue for real estate companies, landlords, and property managers. It not only deprives legitimate applicants of housing but also leads to financial losses and increased management costs for landlords. 

Resistant AI's technology is transforming tenant screening processes for property managers and landlords by enhancing speed, ease, efficiency, and accuracy. 

Resistant AI automates the collection and analysis of tenant data, including identity, credit scores, rental history, and income verification. This allows for a comprehensive assessment of applicants without the delays associated with manual processes. 

One of the standout features of Resistant AI is its ability to detect fraudulent applications early in the screening process. By employing machine learning algorithms, Resistant AI can identify patterns indicative of document tampering or falsified information, significantly reducing the risk of accepting unreliable tenants.

Resistant AI is document agnostic. That means it works with any document loan underwriters use, from anywhere—even those we've never seen before. That includes tax forms and other tax documents, bank statements, pay stubs, account statements, IDs, passports, invoices, and more.

Resistant AI works with all PDF and image formats. Different formats have different risk profiles, and we can help you set up a policy that matches your risk appetite. 

Resistant AI analyzes documents in any language. In fact, we don't read the content of the documents to catch fraud—we analyze the whole context of how the document is made instead. Simply put, we look at how the words are written, not what they say. 

Document fraud in rental applicant screening is a significant and growing concern for landlords and property managers. The rise in rental prices and housing demand has led to a corresponding increase in fraudulent activities.

Fraudulent applicants often falsify key documents such as pay stubs, bank statements, identification cards, and rental references. This can involve altering existing documents to exaggerate financial stability or creating entirely fake documents to mislead landlords about their qualifications. Some fraudsters resort to identity theft, using stolen personal information or creating false identities to bypass screening processes.

The risks are high for landlords and property managers as tenancy fraud leads to financial losses, reputation damage, and increased screening costs.

Yes, you can analyze any and all documents necessary for the lending underwriting process: From tax forms and other tax documents, to bank statements, pay stubs, account statements, IDs, passports, invoices, and more.

It takes less than 20 seconds on average for you to get your verdict when analyzing a document for fraud with Resistant AI.

We don't believe in risk scores: What do you do with a 68% vs an 82% document risk score?

Instead, Resistant AI gives you clear actionable verdicts:

You can either use Resistant AI manually by dropping documents in our web interface, or use our API integration to automate fraud detection at scale.