Photo-based loss estimates help insurers streamline claims and enhance the customer experience. But without fraud checks in place, the leakage can outweigh the benefits.

Detect and uncover digital fraud with Digital Media Forensics

Discover how Digital Media Forensics empowers insurance teams to identify digital fraud in claims through sophisticated, AI-driven media analysis. See how this solution enhances decision-making, streamlines claims processing, and helps you stay ahead of evolving fraud schemes with speed and precision.

The hidden risk in virtual claim estimating

Many investigators rely on visual inspection to detect fraud, using a memory-based repository of images to identify potential duplicates or fraudulent activities. They require a method to efficiently screen the millions of unstructured data files in their claim system for signs of fraud.

Leverage technology for fast claim processing

Digital Media Forensics automates the analysis of unstructured data by applying a series of algorithms to every customer-submitted loss photo to expose anomalies.

Quickly search hundreds of millions of images

This solution identifies images that have been used in other claims, finds duplicates in Verisk’s cross-carrier database of more than 150 million images, and searches the internet for matching images.

No need to contact other carriers for prior loss images

Digital Media Forensics provides free prior-loss images for claims handling and automatically verifies when image data matches claim information.

Powerful image fraud detection from within ClaimSearch

Seamless integration with ClaimSearch® saves you time and energy, enhancing straight-through processing.

Features and capabilities

Cross-carrier image duplication check

Identifies duplicates from prior claims submitted to the ClaimSearch database.

Internet duplication check

Flags images sourced from the internet for potential misuse.

Metadata check

Analyzes the metadata of images to identify potential modifications and compares the location and date of capture with claim information.

PDF manipulation check

Checks the authenticity and integrity of PDF documents by detecting any alterations or tampering.

Pixel manipulation check

 Detects and analyzes alterations to validate the authenticity of the image.