What Encypher does: Insights from the Co-Chair of the C2PA Text Provenance Task Force on AI content authentication, content attribution, and licensing infrastructure. Standard publishes January 8, 2026.
Who it's for: Publishers seeking licensing strategies, AI labs exploring compliance, legal professionals interested in content attribution, and developers building with our API and SDKs.
Key differentiator: Written by the team co-chairing C2PA (c2pa.org) with NYT, BBC, AP, Google, OpenAI, Adobe, Microsoft and others - insider perspective on standards development.
Primary value: Stay informed on market licensing frameworks, regulatory developments, and technical innovations in cryptographic watermarking.
Authors of C2PA Section A.7 (Text Provenance)Authors of C2PA Section A.7 (Text Provenance): Building Infrastructure for the AI Content Economy.
AI licensing revenue now flows through marketplaces requiring machine-readable provenance. Publishers without this infrastructure are invisible to the systems that would pay them.
Machine-readable opt-outs are now the only valid AI training reservation. A German appellate ruling and EU enforcement confirm plain-text copyright notices protect nothing.
AI copyright settlements pay per book while AI systems extract value per sentence. Without sentence-level provenance, every future settlement will underpay rightsholders.
RAG copyright liability exceeds training risk. The US Copyright Office, two federal rulings, and active litigation confirm retrieval creates fresh infringement at every query.