Solutions/Dating Platform

Dating Platform Fraud Detection

Romance scams cost victims $1.3 billion last year. The profiles behind them are increasingly powered by AI-generated faces that bypass manual moderation. Sightova detects synthetic photos at upload, before a single message is sent.

API: v3.TRUST_SHIELD
GAN MODELS TRACKED: 47
SUB-200ms LATENCY

Profile Authenticity Modules

SELECT * FROM dating_trust_matrix
DAT-SYN-01
TRUST MODULE

Synthetic Face Detection

Identify GAN and diffusion-generated portrait photos by analyzing pupil geometry, skin texture frequency, and background coherence patterns invisible to human moderators.

GAN DETECTIONDIFFUSION ANALYSISFACE FORENSICS
DAT-PFV-02
TRUST MODULE

Profile Photo Verification

Verify that uploaded profile images are unaltered photographs of real people by checking for AI upscaling artifacts, face-swap seams, and beauty filter manipulation beyond cosmetic thresholds.

PHOTO INTEGRITYFACE SWAP CHECKFILTER DETECTION
DAT-RIM-03
TRUST MODULE

Reverse Image Matching

Cross-reference profile photos against known stock image databases, previously flagged fraud profiles, and public web indexes to identify stolen or recycled identity photos.

IMAGE SEARCHSTOCK DETECTIONSTOLEN PHOTO
DAT-GFP-04
TRUST MODULE

GAN Fingerprint Analysis

Extract and classify the unique spectral fingerprints left by specific generative models—StyleGAN, Midjourney, Stable Diffusion, DALL-E—to attribute the exact tool used to create a fake profile photo.

MODEL ATTRIBUTIONSPECTRAL ANALYSISTOOL FINGERPRINT
DAT-AGC-05
TRUST MODULE

Age & Gender Consistency

Cross-validate declared profile attributes against visual analysis of the submitted photo. Flag accounts where the depicted person's estimated age or gender significantly contradicts the profile metadata.

ATTRIBUTE MATCHINGAGE ESTIMATIONPROFILE CONSISTENCY
DAT-MUL-06
TRUST MODULE

Multi-Account Detection

Detect fraud rings operating multiple fake profiles by clustering accounts that share AI-generated imagery from the same model seed, similar facial embeddings, or recycled photo sets.

FRAUD RINGSEED CLUSTERINGEMBEDDING MATCH
PLATFORM INTEGRITY

Eliminate Fake Profiles at Upload

A single AI-generated profile can run a romance scam for months before being reported. By then, the damage—financial and emotional—is done. Sightova intercepts synthetic faces, stolen photos, and fraud ring patterns the moment a profile image is uploaded.

  • Detect StyleGAN, Midjourney, and Stable Diffusion-generated faces with 99.2% accuracy across diverse demographics.
  • Identify fraud rings operating dozens of fake accounts by clustering shared generative model seeds and facial embeddings.
  • Reduce user reports of catfishing by up to 87% while keeping onboarding friction below 200ms per image check.
PROFILE IMAGE VERIFICATION — RESPONSE
{
  "verification_id": "pfv_3a8c72d1e9b0",
  "profile_ref": "USR-9284710",
  "images_scanned": 4,
  "primary_photo": {
    "verdict": "AI_GENERATED",
    "confidence": 0.992,
    "model_attribution": "stylegan3_ffhq",
    "signals": [
      "spectral_gan_fingerprint",
      "pupil_geometry_anomaly",
      "skin_texture_frequency_flat"
    ]
  },
  "reverse_image_match": {
    "found": true,
    "source": "thispersondoesnotexist.com",
    "matches": 12
  },
  "cluster_id": "RING-0044",
  "linked_accounts": 23,
  "action": "BLOCK_AND_FLAG_RING"
}

Build Trust on Your Platform

Give your users confidence that every profile they see is a real person. Integrate Sightova's real-time image verification to eliminate AI-generated fakes, catch fraud rings, and reduce catfishing reports.

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