CrashBench

GenAI fraud: train your tampering detectors

The GenAI-fraud preset produces realistic edits meant to train detectors — not to commit fraud. Outputs are watermarked and lawful use is required by the terms.

How it works

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How it works

Insurers are drowning in retouched or inpainted claim photos. To detect fraud you need fraud examples — coherent, varied, labelled.

The deterministic stage then recompresses the image to hide editing traces, exactly as a fraudster would. Your detector trains on the hard case.

Key points

  • Realistic prompt-based editing for detector training data.
  • C2PA watermark and lawful-use clause (dual-use guardrail).
  • Recompression to simulate hiding editing traces.