Catch synthetic claims evidence before it costs you.
AI-generated damage photos are flooding insurance claims. Screen submitted evidence for synthetic media before it reaches your adjusters.
Fake damage photos are getting payouts.
Generative AI can produce photorealistic vehicle damage, property destruction, and injury documentation in seconds. Adjusters reviewing hundreds of claims per week have no reliable way to tell synthetic evidence from real evidence at scale.
Synthetic evidence, flagged at intake.
AI-generated vehicle damage
Synthetic crash photos, fabricated dents, and AI-rendered collision scenes created by image generators.
Fake property damage photos
AI-generated storm damage, fire damage, and water damage imagery submitted as claims evidence.
Staged accident images
Composite or AI-manipulated photos designed to fabricate accident scenes that never occurred.
Recycled and duplicate claim photos
Photos reused across multiple claims or accounts, including AI-modified variants of the same source image.
Manipulated injury documentation
Altered or AI-generated medical imagery and injury photos submitted for workers compensation or liability claims.
Face swaps in identity fraud
Deepfake face swaps used to impersonate policyholders or fabricate witness identities in claims documentation.
Every line of business.
Auto
Screen crash photos, collision damage, and staged accident imagery. Detect AI-generated vehicle damage before claims are processed.
Property
Verify storm, fire, and water damage photos. Flag synthetic property damage evidence in homeowner and commercial property claims.
Workers Compensation
Screen injury documentation and medical imagery for AI generation or manipulation. Reduce fraudulent disability and injury claims.
Commercial Lines
Verify equipment damage, inventory loss, and business interruption evidence. Detect fabricated documentation in commercial claims.
Three ways to screen claims.
Upload claim evidence
Upload damage photos, injury documentation, or other claim evidence through the web tool for manual review. Drag and drop or paste a URL.
Ensemble analysis
Multiple detection models run in parallel: pixel forensics, frequency analysis, face swap detection, and provenance verification.
Verdict and confidence score
Each image receives a confidence score and verdict (PASS / FLAG / REVIEW). Results returned in under 3 seconds per image.
API for batch processing (coming soon)
REST API for automated screening at volume. Process claims evidence in bulk with webhook callbacks for async results.
Chrome extension also available for adjusters reviewing claims evidence in their browser. Right-click any image to scan it without leaving the claims portal.
Built for insurance.
Ensemble detection
Multiple models analyze each image in parallel. More signals and fewer false positives than single-model solutions.
Face swap detection
Detect deepfake face swaps used for identity fraud in claims documentation, witness photos, and policyholder verification.
C2PA provenance reading
Read Content Credentials metadata when present. Verify chain of custody for photos taken with provenance-enabled cameras and devices.
Privacy-first
Images are analyzed and discarded. No claim photos are stored, retained, or used for training. Designed for regulated industries.
Common questions.
How does AI-generated insurance fraud work?
Fraudsters use generative AI tools to create realistic photos of vehicle damage, property damage, or injuries that never occurred. These synthetic images are submitted as claims evidence to trigger payouts for fabricated losses.
Can AI-generated damage photos fool insurance adjusters?
Yes. Modern image generators produce damage photos that are visually indistinguishable from real ones at a glance. Without detection tools, adjusters reviewing hundreds of claims per week are unlikely to catch synthetic evidence consistently.
What types of insurance claims can be screened?
Auto claims (crash and damage photos), property claims (storm, fire, and water damage), workers compensation (injury documentation), and commercial lines (equipment and inventory losses) can all be screened for AI-generated or manipulated evidence.
Does Witness store claim photos?
No. Images are analyzed and discarded immediately after processing. No claim photos, policyholder data, or claims metadata is stored, retained, or used for model training.
How accurate is the detection?
Witness uses an ensemble of detection models running in parallel. We publish per-generator accuracy rather than a single headline number, so you know exactly what the system can and cannot catch for your specific threat profile.
Screen your next batch of claims.
Talk to us about screening claims evidence for synthetic media before it reaches your adjusters.