VAARHAFT
Insurance

Image-Based Insurance Fraud? Detect. Verify. Prevent.

Manipulated claims images and forged documents cost the industry billions. VAARHAFT gives you the tools to automatically verify every submitted piece of evidence, and actively resolve dubious cases. In seconds. Directly within your claims process.

€6B+
Annual fraud losses
< 4s
Analysis time
95%+
Detection accuracy

Accuracy figures are based on internal benchmarks.

Insurance claim damage photo

Trusted by

LVM Versicherung
Janitos
GEV Grundeigentümer-Versicherung
RheinLand Versicherungen
Partner
DOMCURA
Wellster Healthtech
InsurLab Germany
Insurtech UK
claimd
Buildsimple
LVM Versicherung
Janitos
GEV Grundeigentümer-Versicherung
RheinLand Versicherungen
Partner
DOMCURA
Wellster Healthtech
InsurLab Germany
Insurtech UK
claimd
Buildsimple
THE CHALLENGE

6 Billion Euros. Every Year. And the Dark Figure Is Growing.

Any insurer digitizing claims processes without systematically verifying submitted media is opening the door to fraudsters.

€6B+
Annual Fraud Losses
10×
more deepfake fraud attempts since 2022
1 in 10
claims is suspicious

Sources: GDV · Sumsub Identity Fraud Report 2023

For your claims management, this means:

Manual image review is no longer sufficient to reliably detect AI-generated or AI-edited images.
Forgeries are only discovered after settlement, or not at all.
Increasing automation (straight-through processing) raises the risk of manipulated evidence slipping through.
Fraud costs rise proportionally with growing claims expenditures.

Can you tell which damage is real?

Make your guess!

1 / 15
AI-generated image of a damaged iPhone on a wooden table
Damaged iPhone on table
THE SOLUTION

Detect and Defend: One Solution, Two Products

VAARHAFT bridges the gap between fraud detection and fraud prevention. Our solution consists of two components that are powerful individually, but only reach their full potential when combined:

Fraud Scanner Analysis Result
Fraud ScannerFRAUD DETECTION

Fraud Scanner

The Fraud Scanner is VAARHAFT's AI detection module. It automatically checks every submitted image and document for visual authenticity, fully automated, in under 4 seconds, directly through your existing claims software.

Available as a REST API for automated integration into your processes and as a web tool for manual ad-hoc review by claims adjusters.

SafeCam Web App
SafeCamFRAUD PREVENTION

SafeCam

When the Fraud Scanner detects an anomaly, the policyholder automatically receives an SMS with a link to the secure camera web app, no download required. The customer photographs the damage again, live and in real time.

Honest customers complete the process in under one minute. Fraudsters are blocked during the capture process and frequently withdraw their claim voluntarily.

Why Only the Combination Makes the Difference

The Fraud Scanner detects fraud. SafeCam proves it, or clears the suspicion. Together, they drive your false positive rate to near zero.

Detect manipulated images
Automatically resolve suspicious cases
Actively deter fraudsters
Eliminate false positives
FEATURES

Over 25 Analysis Methods, One Single API Call

Every submitted image and document undergoes a comprehensive forensic analysis in parallel. You receive a structured result with confidence scores, explanations, and actionable recommendations.

FEATURES IN ACTION
Image Trust Layer

AI Generation Detection

Detects AI-generated damage photos with up to 99% accuracy before they enter your claims process.

AI Generation Detection
Image Trust Layer

Explainability Heatmap

Visualizes exactly where and how an image was manipulated. Transparent and comprehensible for claims adjusters.

Explainability Heatmap
Image Trust Layer

Reverse Image Search

Instantly identifies if a submitted damage photo already exists on the internet, a reliable indicator of fraud.

Reverse Image Search
Image Trust Layer

Metadata Cross-Referencing

Automatically checks whether photo dates match the reported damage date. In this case, a 12-year discrepancy.

Metadata Cross-Referencing
Document Trust Layer

AI-Generated Document Detection

Detects AI-generated invoices and documents and checks contact details for plausibility. Here: 98% AI probability and an invalid IBAN.

AI-Generated Document Detection
Information Trust Layer

GPS & Metadata Extraction

Reveals capture location, device information, and timestamps for automated plausibility checks.

GPS & Metadata Extraction
USE CASES

Five Scenarios. Two Products. Zero Blind Spots.

Fraud Scanner and SafeCam intervene at different points in your processes, from post-submission image verification to secure on-site documentation and active resolution of suspicious cases.

Fraud Scanner

Post-Submission Detection of Forged Claims Images

A policyholder reports a water damage claim and submits photos through the claims portal. The images look plausible at first glance, but the Fraud Scanner detects within seconds that the damage was retroactively inserted into an authentic photo using AI. The heatmap marks the exact manipulated areas. Additionally, the duplicate check reveals that the same base image was already used in a previous case. The claim is automatically flagged as RED and presented to the claims adjuster with the full analysis report, before any settlement is made.

CUSTOMER REFERENCE
Insurance

GEV Uncovers 1.4% Image-Based Fraud

Grundeigentümer-Versicherung VVaG (GEV) integrated the Fraud Scanner API and automatically analyzed all incoming claims images, with measurable results.

Read the full story
1.4%Fraud rate
95.4%Accuracy rate
16Confirmed fraud
> €100KAnnual potential
Grundeigentümer-Versicherung VVaG · HamburgGrundeigentümer-Versicherung VVaG

Ready to see it in action?

Book a Demo
BENEFITS

Why Insurers Choose VAARHAFT

01

Direct Impact on Your Combined Ratio

Every prevented fraud case improves your loss ratio. With automated detection at the point of claim submission, you reduce fraud losses before they hit your books, directly strengthening your profitability.

02

Lower Investigation Costs

Automated AI analysis replaces expensive manual review processes. Your fraud team focuses only on flagged cases, reducing operational costs while increasing detection rates.

03

Detection Rates Above 95%

Proprietary deep learning models trained on our own datasets. Weekly updates keep detection at the cutting edge.

04

Actively Resolve Suspicious Cases

By combining Fraud Scanner and SafeCam, suspicious cases are not just detected but actively resolved.

05

GDPR-Compliant

No permanent storage of customer data. Images deleted immediately after analysis. Hosting on AWS Frankfurt.

06

Success-Based Billing

The SafeCam camera web app is billed purely on a success basis: you only pay when fraud is identified and prevented.

07

White-Label & Customizable

The SafeCam camera web app is fully adaptable to your corporate design: logo, colors, texts, and communication flow.

08

Always Up to Date

Continuous monitoring of new threats. Automatic model retraining. Updates rolled out server-side with zero IT effort.

INTEGRATION

Up and Running in Days

Two ways into your claims processes: deeply integrated via API or ready to use in the browser. Both run on the same analysis engine.

AUTOMATED

REST API

Integrate the VAARHAFT REST API into your claims management system. Every submitted image and document is analyzed automatically at claim intake, ideal for straight-through processing.

READY TO USE

Web Tool

Start without any technical integration: claims handlers upload suspicious claim images directly in the browser and receive the full analysis report in seconds.

Technical Specifications

Hosting: AWS Frankfurt (Germany)
Formats: JPG, JPEG, PNG, TIFF, HEIC, PDF
Response time: < 4 seconds
Scaling: automatic under peak load
SDK: Python (PyPI: vaarhaft-fraudscanner)
API Docs: docs.vaarhaft.com/openapi
AWARDS

Award-Winning Insurance Fraud Detection

DIAmond Award

ITC DIA Amsterdam

DIAmond Award

2024

Claims Rockstar Award

Versicherungsforen Leipzig

Claims Rockstar Award

2024

Collaborative Excellence Award

Insurtech Hub Munich

Collaborative Excellence Award

2024

Standalone Insurance Pioneer

insureNXT · InsurLab Germany

Standalone Insurance Pioneer

2024

We.Xplore Rockstar Award

Versicherungsforen Leipzig

We.Xplore Rockstar Award

2023

FAQ

Answers to the Most Important Questions

Typical integration takes 1–4 project days. The web tool can be used immediately without any technical integration.

No. Images are deleted immediately after analysis (dwell time: 2–3 seconds). No customer data is stored and no customer data is used to train our models.

Overall accuracy is above 95%, measured against internal representative datasets. Models are retrained weekly with current data.

In principle, yes. However, the solution only reaches its full effectiveness when both work together: the Fraud Scanner identifies suspicious cases, SafeCam resolves and deters them.

Exclusively on Amazon AWS in Frankfurt, Germany. All communication is encrypted via HTTPS.

JPG, JPEG, PNG, TIFF, HEIC, and PDF. For PDF files containing embedded photos, these are automatically extracted and analyzed individually.

You only pay for SafeCam usage when fraud is actually identified and prevented. The Fraud Scanner API is billed separately based on analysis volume.

Yes. The camera web app is fully available as a white-label solution: logo, colors, texts, and the entire communication flow are individually configurable.

NEXT STEP

Start with a Personal Demo

See in a 45-minute live demo how VAARHAFT integrates into your claims processes, and how quickly you'll achieve your first results.