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Detecting deepfakes reliably is becoming increasingly challenging
1 in 10 claims in the insurance sector is already suspicious and EUR 6 billion in fraud losses occur in Germany every year. With the exponential increase in AI development, the trend for image-based insurance fraud is increasing.
Can you still distinguish which of the images here above are real and which are AI-generated?
Our solution for trustworthy claims in the insurance sector
Fraud Scanner
Fraud detection
With our image analysis API, we examine each damage image fully automatically to determine its credibility in a matter of seconds, thereby providing you with efficient decision-making support in fraud detection.
Detects AI-generated images
Detects (AI-)edited images
Detects internal and external duplicates
Detects images from the internet
Fake image fraud detection
for credible claim images
With our solutions you can effectively optimize fraud detection and prevention in claims processing.
Bundling image forensic analysis
In the Fraud Scanner in particular, we combine a variety of complex image forensic analysis to detect different forms of fraud in connection with damage images.
Efficient cost cutting
By more specifically controlling suspicious damage patterns and reducing the effort required for manual image checks, we reduce your costs significantly.
Reduction of fraud rate
Prevent more fraud attempts thanks to new solutions for detecting and preventing manipulated or AI-generated damage patterns.
Uncomplicated Integration
Whether as a support tool for claims settlement on the table or as an optimization for fully automated dark processing, our solutions can be easily and individually integrated into your claims settlement processes.
