Surge in document fraud
in a single year
YoY surge in deepfake
fraud attempts
In fraud losses prevented in
one year by Informativ
Fraud doesn’t hit a dealership once.
It hits five different ways.
Auto lending fraud risk is projected to reach $9.2 billion in 2026. Most dealerships have a plan for whichever fraud burned them last, but fraud takes five distinct forms, and each one calls for a different defense to treat it as one problem with one fix, and you’re only watching one door while four stay open. Informativ’s free guide breaks down all five, with the fix for each.
Identity Fraud
How a stolen identity still slips past the front counter on a fake driver’s license and what the barcode gives away that front of the ID doesn’t.
Synthetic Fraud
Why a real Social Security Number stitched to a fabricated identity is nearly invisible to older, single-layer fraud checks.
Document Fraud
How a forged pay stub or bank statement beats manual review and why it can be produced in minutes for less than $20.
Deepfake Fraud
Why AI-generated images and cloned voices are the newest threat to remote and online deals.
Internal Fraud
The gap most vendors won’t tell you about and why training alone can’t close it
Get the Free White Paper
See all 5 fraud types — and the fix for each — sent straight to your inbox.
Dealerships face five main categories: identity fraud (a stolen identity used with a fake driver’s license), synthetic fraud (a real Social Security Number combined with a fabricated identity), document fraud (falsified pay stubs, bank statements, or other stips), deepfake fraud (AI-generated photos or cloned voices in remote transactions), and internal fraud (misconduct or data misuse by employees). Informativ’s free white paper covers how to spot and stop each one.
Auto lending fraud risk is projected to reach $9.2 billion in 2026, according to Point Predictive. Document fraud surged 244% in a single year, and deepfake fraud attempts have climbed 700% year-over-year.
Synthetic identity fraud combines a real Social Security Number with a fabricated name, birthdate, or address to build a credit profile that looks like it belongs to a real person. It’s the fastest-growing, hardest-to-catch fraud type in lending because it’s built to slip past outdated, single-layer checks.
Dealerships that stop the most fraud without adding friction use a single platform that screens for identity, synthetic, document, deepfake, and internal fraud at the point of application, instead of bolting on separate tools for each. Informativ unifies credit reports, fraud prevention, and compliance into one embedded workflow used by 5,000+ dealerships. Download the free guide to see the specific fix for each fraud type.
