Use caseSynthetic media and deepfake risk scoring
Deepfake risk analysis without pretending probability is proof
Zuke can support synthetic media and deepfake risk analysis by producing probability-style outputs while keeping them conceptually separate from provenance-backed authenticity. That distinction helps teams avoid overclaiming certainty.
What Zuke’s approach emphasizes
A detector can estimate risk. Provenance can support trusted origin. Those are not the same thing, and good trust systems should present them differently.
Example applications
- • review workflows for suspicious media
- • communications and campaign authenticity checks
- • AI governance dashboards
- • evidence bundles for downstream human review