The fraud tool you bought is catching last year's fraud.

93 percent of property management companies experienced lease fraud in the past 12 months. Incidents are up 40 percent year over year, according to a joint survey by the National Apartment Association and the National Multifamily Housing Council.

The tools meant to stop it are not keeping up.

The fraud your tools were not designed for

Most fraud detection tools were built to catch one thing: a fake document. A manipulated pay stub. A forged bank statement. Those tools catch what they were designed to catch. Fraud has moved past them.

First-party fraud is an applicant misrepresenting their own finances. Third-party fraud is someone using a stolen identity. Inception fraud involves applicants who route real salary payments through a legitimate LLC so that when an income verification check reviews the payment history, everything looks genuine.

Standard income verification passes inception fraud every time. The payments are real. The employer is real. The applicant is not who they say they are.

Synthetic identity fraud goes further. An applicant's profile is built from real data points across multiple people: a real name, a real document fragment, a real address, assembled into something that passes most standard checks. AI is accelerating how quickly these identities can be created and how convincing the supporting documents look.

What a single case actually costs

Each confirmed fraud case runs roughly $100,000 by the time you factor in lost rent during occupancy, eviction costs, legal fees, and unit damage. That is the typical full-cycle cost once an eviction goes the distance, not a worst-case estimate.

In markets like Atlanta, 12.2 percent of all rental applications in 2024 were flagged as fraudulent. At that rate, fraud is not an occasional problem. It is a volume problem that shows up directly against NOI.

Why adding another point solution does not close the gap

Most property management companies respond to fraud by adding a tool. A new verification layer. A background check upgrade. Each tool addresses one fraud type and leaves the next one room to come through.

A more useful signal is one most companies are not using: their own portfolio history. A fraudulent applicant who applied at one of your properties last quarter is likely applying at another one now. Most companies have no way to see that connection because each of your properties is essentially working blind to what happened at the others.

Where to start

Before evaluating another fraud vendor, look at what you already know. Pull your eviction and bad debt history from the past two years. Look for patterns: same phone numbers across applications, addresses that cluster, income documentation from the same employer appearing on multiple applications.

That internal audit will show you where your current tools are failing and which fraud types are actually reaching your properties. Let that drive the next purchase, not the other way around.