.png)
At a glance - Executive summary for insurers
Problem
AI-generated and manipulated damage photos and documents are becoming increasingly difficult to detect and are driving up the fraud rate.
Solution
The Fraud Scanner flags AIGC, pixel edits, and document tampering in real time with explainability.
Outcome
Lower fraud rate, faster straight-through processing, and explainable documentation;
GDPR-compliant, API-ready.
What the Fraud Scanner does
Multimodal AI analyzes claim images and documents to assess authenticity and detect tampering, fast and at scale.
Detect anomalies in the image & document immediately
The Fraud Scanner detects image & document anomalies within seconds, providing instant feedback during claims processing on whether the image is fake. Our AI uncovers both generated and manipulated damage photos, helping prevent insurance fraud efficiently.
_edited.png)
.webp)
Get helpful insights to substantiate the suspicion
Our heatmap highlights suspicious areas in the image for better traceability. The Fraud Scanner provides case numbers and web addresses during duplicate checks and reverse image searches, making it easier and faster to assess the potential insurance fraud.
How VAARHAFT integrates into your claims workflow
.webp){kind=small}
FNOL intake
Customer reports loss and submits photos/PDFs via portal or app; claim is created and routed.
.webp){kind=small}
Fraud Scan (API)
Claim management system calls VAARHAFT via API to analyze images & documents; analysis results & a PDF-report are returned.
.webp){kind=small}
Routing: Settlement
or fraud investigation
Green → straight‑through settlement.
Red/yellow → manual claim control and additional image requests.
.webp){kind=small}
Decision & Documentation
If indicators persist or customer disengages, move to fraud defense and document suspicious claim.
How to implement an efficient AI-fraud detection solution to detect fake images in the claims handling process.
In this guide, you will learn how insurance companies can efficiently integrate the Fraud Scanner as a powerful AI fraud detection solution into their claims handling processes.
Example Use Cases
.webp)
Motor
-
Doctored bumber photos
-
Reused stock damage images across claims
-
AI-invented hail dents
.webp)
Property
-
Staged water damage
-
Mold patches copy-pasted
-
EXIF location does not match address
.webp)
Health/Travel
-
Altered medical certificates
-
Duplicated receipts with price inflation
-
Fake luggage evidence
.webp)
Device/Gadget
-
Photoshopped cracks
-
Inconsistent EXIF/device metadata across submitted photos and invoices
BENEFITS
Effective fraud detection for a more trustworthy and efficient claims handling
Our AI technology is always up-to-date, delivering valuable insights on fake damage images in seconds, helping prevent insurance fraud quickly and effectively.
Reduce manual effort with simple API integration in claims processing. Claims without detected anomalies can still be processed automatically,
Stay GDPR-compliant when processing customer damage images. Our AI is not trained on customer images, and we do not store them, ensuring data privacy.
Frequently asked questions
Read more about fraud detection for insurances
