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Safety
Published Jun 22, 2026
7 min read

Before Shipping a Face Swap API: Consent, Identity, and Abuse Controls

Design face swap around explicit consent, minors, public figures, provenance, watermarking, and deletion.
Before Shipping a Face Swap API: Consent, Identity, and Abuse Controls
Key takeawayThe main face-swap risk is not generation failure; it is successful generation used for non-consensual identity expression.

Why this deserves its own decision

Face swap touches biometric data, identity, likeness rights, and deception risk. Even a technically correct output can harm a real person when the product lacks consent evidence, age protection, or an appeal and deletion path.

Decision framework

  • Allow only material the user controls with explicit subject consent.
  • Prohibit minors, intimate use, fraud, and impersonation with hard controls.
  • Retain provenance and audit records, and mark outputs visibly or machine-readably.

Putting it into a ModelRush workflow

Collect rights_basis, subject_consent, and intended_use before a ModelRush task; sensitive contexts enter human review. Isolate keys by application, add limits and anomaly detection, and provide deletion for sources, outputs, and associated biometric data.

What to measure after launch

  • Jobs blocked for missing consent or high-risk use.
  • Complaints, appeals, deletion requests, and resolution time.
  • Signals of abnormal batching, repeated identities, and evasion.
The main face-swap risk is not generation failure; it is successful generation used for non-consensual identity expression.

Next steps

Move straight from this article to model details, current pricing, API documentation, and the Playground.

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