Solutions/Insurance Fraud Detection

Insurance Fraud Detection

The insurance industry loses over $308 billion annually to fraud — and generative AI is making it exponentially worse. Fabricated damage photos, synthetic medical records, and AI-generated identity documents now bypass traditional detection methods. Sightova gives claims adjusters, SIU teams, and underwriters the forensic tools to catch synthetic evidence across health, life, and commercial lines before payouts clear.

$308B
Annual fraud losses
94.2%
Synthetic catch rate
1.2M+
Claims analyzed
Core Capabilities

Full-spectrum fraud detection for every claim touchpoint

Six specialized modules covering the entire claims lifecycle — from first notice of loss through settlement — across health, life, property, casualty, and commercial lines.

INS-CPV-01
Claims Module

Claim Photo Verification

Analyze claim-submitted photographs for generative AI artifacts, splicing boundaries, and clone-stamp traces. Whether it's a fender-bender photo or a warehouse fire scene, our models distinguish authentic damage from synthetic fabrication at pixel level.

photo forensicssplice detectionclone-stamppixel analysis
INS-DAV-02
Claims Module

Damage Assessment Validation

Cross-reference submitted damage imagery against physics-based damage models. Detect impossible shadow angles, inconsistent lighting conditions, and AI-hallucinated structural details that betray synthetic or manipulated damage evidence.

physics validationshadow analysislighting consistencystructural check
INS-MDS-03
Claims Module

Medical Document Screening

Screen medical records, diagnostic reports, lab results, and prescription images for signs of AI generation or manual tampering. Flag synthetic letterhead, fabricated physician signatures, and inconsistent document formatting across healthcare providers.

lab resultsRx verificationletterhead analysissignature forensics
INS-IDV-04
Claims Module

Identity Proof Verification

Validate driver's licenses, passports, utility bills, and other identity documents submitted during enrollment and claims. Detect face-swapped ID photos, synthetically generated barcodes, and forged holographic elements.

ID documentface-swap detectionbarcode validationhologram check
INS-HIC-05
Claims Module

Historical Image Comparison

Compare newly submitted claim images against your historical database to identify recycled fraud — the same damage photo submitted across multiple claims, policyholders, or time periods. Surface serial fraud rings operating across your book of business.

duplicate detectioncross-claimserial fraudimage hashing
INS-SID-06
Claims Module

Synthetic Injury Detection

Purpose-built models for detecting AI-generated bodily injury evidence in workers' compensation, personal injury, and disability claims. Identify synthetic bruising, fabricated X-rays, and generated wound imagery with medical-grade precision.

injury forensicsX-ray analysiswound detectiondisability claims
Claim Analysis Response

Forensic intelligence at the speed of claims

Each submitted image returns a comprehensive forensic report within milliseconds. Integrate directly with your claims management system, Guidewire, Duck Creek, or custom platforms. Adjusters get actionable verdicts; SIU teams get the evidence chain they need for investigation.

  • Per-pixel manipulation heatmaps for adjuster review
  • Automated SIU referral triggers based on configurable risk thresholds
  • Cross-claim duplicate image detection across your entire book
  • NAIC and state regulatory compliance-ready audit exports
POST /v1/insurance/claim-scan — 200 OK
{
  "request_id": "ins_clm_7f2b4d91",
  "claim_number": "CLM-2026-0847291",
  "policy_id": "POL-HO3-992847",
  "line_of_business": "commercial_property",
  "file_name": "warehouse_fire_evidence_03.jpg",
  "scan_ms": 142,
  "verdict": "SYNTHETIC_DETECTED",
  "confidence": 0.982,
  "risk_tier": "CRITICAL",
  "detections": [
    {
      "type": "generative_artifact",
      "model_family": "stable_diffusion_xl",
      "region": [0.08, 0.15, 0.72, 0.89],
      "confidence": 0.98
    },
    {
      "type": "physics_violation",
      "detail": "shadow_angle_mismatch",
      "sun_position_expected": 42.3,
      "sun_position_rendered": 67.8,
      "confidence": 0.95
    }
  ],
  "duplicate_matches": [
    {
      "claim_number": "CLM-2025-0612044",
      "similarity": 0.97,
      "filed_by": "different_policyholder"
    }
  ],
  "siu_referral": true,
  "action_taken": "FLAGGED_FOR_REVIEW"
}

Stop Fraudulent Claims

Every day you wait, synthetic claims are clearing your pipeline. Deploy Sightova into your claims workflow and give your adjusters and SIU teams the AI-powered forensic edge they need to protect your loss ratio.