
A Digital Fingerprint: Ending AI’s Billion-Dollar Guessing Game
Encypher embeds invisible metadata to make AI content verifiable, tamper-proof, and trusted by default.
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.
From the Authors of the C2PA Text StandardFrom the Authors of the C2PA Text Standard: Building Infrastructure for the AI Content Economy.

Encypher embeds invisible metadata to make AI content verifiable, tamper-proof, and trusted by default.

Encypher embeds invisible metadata to make AI content verifiable, tamper-proof, and trusted by default.