AI Fraud Detection
Detect deepfake images, synthetic videos, and cloned voices in fraud claims. API-first, sub-second response, built for enterprise volume.
Fraud has gone synthetic.
AI-generated damage photos in insurance claims. Synthetic identity documents in KYC. Deepfake video calls authorizing wire transfers. Your existing fraud stack wasn't built for this.
API-first. Sub-second.
Submit media via REST API
Send images, video frames, or audio clips. Supports batch processing and webhooks for async results.
Multi-model ensemble analysis
Multiple detection models run in parallel: pixel forensics, frequency analysis, and provenance verification.
Verdict in under 3 seconds
Confidence score (0-100), verdict (PASS / FLAG / REVIEW), and audit trail returned as structured JSON.
Integrate into your workflow
Route flagged items to manual review. Auto-approve clean submissions. Full audit log for compliance.
Where it matters.
Banking & KYC
Detect synthetic identity documents, deepfake liveness videos, and AI-generated selfies in KYC onboarding. Prevent account takeover with voice clone detection.
Insurance Claims
Screen submitted damage photos for AI generation. Flag duplicate or recycled claim images across accounts. Reduce SIU investigation backlog.
E-commerce & Refunds
Detect AI-generated refund photos (fake damage, missing items). Identify patterns across claims and accounts. Sub-3-second response for real-time screening.
Legal & Evidence
Authenticate digital evidence before it enters proceedings. Detect face swaps, voice clones, and manipulated video. Chain-of-custody documentation.
Built for enterprise.
Ensemble detection
Multiple models analyze each submission in parallel. More signals, fewer false positives than single-model solutions.
Sub-second API
Median response time under 3 seconds. Built for real-time screening at volume.
Multi-surface
Web tool for manual review, Chrome extension for in-browser checks. API access coming soon for automation at scale.
Transparent accuracy
We publish methodology and per-generator accuracy, not a single headline number. You know exactly what you are buying.
One API call.
curl -X POST https://api.witness.vision/v1/detect \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"image_url": "https://example.com/claim-photo.jpg"}'
# Response
{
"verdict": "SYNTHETIC",
"confidence": 94.2,
"model_signals": [...],
"audit_id": "aud_7f3k..."
}Pay per scan.
Usage-based pricing. No minimums, no long-term contracts. Tell us your volume and we will send you a quote within one business day.
Common questions.
How does AI fraud detection work?
Witness analyzes submitted media with an ensemble of detection models. Each model checks for different signals: generative fingerprints, frequency artifacts, metadata inconsistencies. Results are combined into a single confidence score and verdict, returned in under 3 seconds.
Can deepfakes be used for insurance fraud?
Yes. AI-generated damage photos, manipulated evidence, and synthetic documents are increasingly used in claims fraud. Witness screens submitted evidence at the point of intake, flagging synthetic or manipulated media before it reaches adjusters or SIU teams.
What volume can the API handle?
The API is built for enterprise volume. Standard plans support thousands of scans per day. Enterprise plans include dedicated infrastructure, custom SLAs, and priority support.
Stop synthetic fraud before it costs you.
Talk to us about integrating Witness into your fraud detection pipeline.