AI watermarking embeds detectable signals in generated content, statistical patterns in text, imperceptible marks in images and audio, so provenance can be veri
Embedding detectable signals in generated content, statistical patterns in text, imperceptible marks in images and audio, so provenance can be verified later. It pairs with content-credential standards like C2PA that cryptographically attach origin metadata to media.
It is imperfect: marks can degrade under editing, and text watermarks are fragile. But it is increasingly expected, because the EU AI Act and platform policies require disclosure of synthetic content, making provenance tooling part of responsible media pipelines.