How does Klippa detect fraudulent insurance claims?

Klippa uses AI-powered tools including OCR, computer vision, and machine learning to detect anomalies such as duplicate, forged, or manipulated documents. Our system flags over 66% of fraudulent documents for further review.

Can Klippa verify the authenticity of claims documents?

Yes. Klippa automatically checks the authenticity, accuracy, and completeness of claim documents—without manual work or delays.

What types of insurance claim documents can Klippa process?

Klippa supports ID cards, damage reports, invoices, receipts, and other claim-related documents. Our AI models can be trained to recognize and process your specific document types.

How accurate is Klippa’s claims fraud detection?

Klippa’s fraud detection models identify over 66% of fraudulent documents by flagging anomalies for manual review. Accuracy continues to improve as the models are trained with new data.

Can Klippa detect duplicate or manipulated documents?

Yes. Klippa uses document forensics to detect signs of tampering, duplication, or image manipulation in real-time.

How does Klippa handle sensitive personal data in claims?

Klippa redacts and protects sensitive data using automated anonymization technology. Our solutions are GDPR-compliant and designed for privacy-first processing.

How quickly can Klippa flag suspicious claims?

Suspicious claims can be flagged in real time, typically within seconds of document ingestion.

Does Klippa integrate with my claims management system?

Yes. Klippa can be integrated via API or SDK within 24 hours. Our technical documentation makes implementation fast and flexible.

Can I test Klippa before fully integrating it?

Yes. You can request a free demo or proof of concept to evaluate how Klippa fits your fraud detection workflows before committing.

Klippa DocHorizon

AI-Generated Image Detection At Scale

Stop AI-generated images from entering your digital workflows. Klippa automatically detects AI-generated or manipulated images with smart image forensics.

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Trusted by 1000+ brands worldwide

CHALLENGES

The Challenges of Spotting AI-Generated Images

Image fraud has evolved rapidly. With the rise of AI image generators, deepfake tools, and easy editing apps, it has become much harder to spot manipulated or artificially created images. Here are a few of the challenges that our clients face:

Advanced AI tools can generate realistic photos or even identity images that look genuine at first glance.

High volumes of images coming from apps, portals, and emails create constant pressure on manual review teams.

Human error increases when reviewers must judge images quickly, under workload pressure or strict SLAs.

Fragmented review methods: Visual inspection, metadata checks, and device analysis are often conducted via separate tools, making it easy to miss subtle red flags

How Klippa DocHorizon Detects AI Fraud in Images

Klippa DocHorizon takes images from any channel, whether they come through an app, portal, email or API, and quickly analyzes their pixels, patterns, and metadata for signs of AI generation or manipulation. Within seconds, you receive a short note on what looks suspicious and clear guidance on whether to approve, reject or send the image to manual review.

More about DocHorizon

Image Fraud Detection Methods Utilized by Klippa

Klippa applies a range of AI techniques to uncover AI-generated fake images by detecting copy-move edits, altered metadata, and image pixels. Watch our short demo video to learn how Klippa flags fraud more accurately.

KEY FEATURES

Why Choose Klippa for AI Image Fraud Detection

Klippa DocHorizon gives you one platform for everything related to document and image verification. It delivers fast and accurate results with very few false positives, connects smoothly to your claims processing, digital onboarding, or trust and safety workflows, and keeps all data secure with enterprise-grade compliance.

AI-image recognition
Detect images that were created or heavily modified with diffusion models, Generative AI engines or AI editing tools.
Content validation
Compare images against claims descriptions, customer data, or past submissions to avoid duplicates and fraudulent applications.
Faster fraud reviews
Klippa flags high-risk images and organizes supporting data to help your team review cases faster and make decisions with confidence.
Seamless integration
With a comprehensive documentation you can integrate Klippa into your solutions via API or SDK within 24 hours.

No code platform
Build custom digital image review workflows and automatically flag for suspicious cases.
Pixel level forensics
Spot inconsistencies in lighting, texture, shadows, reflections and edges that reveal synthetic content.
Metadata analysis
Identify missing or mismatched camera data, unusual compression and editing footprints.
Ensured data protection
At Klippa, we ensure that our solutions process files in full compliance with regulatory standards.