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.
When AI systems claim 'According to the New York Times...' but the quote is wrong, your brand takes the hit. Here's how quote integrity verification protects publisher reputation.
Images have had provenance for years. Video and audio followed. But text—the majority of AI-generated content—had nothing. Here's why that gap existed and how it's finally being closed.
AI detection tools guess whether content is machine-generated. Cryptographic watermarking proves it. Here's why the difference matters for publishers, educators, and enterprises.
C2PA is the open standard for proving where digital content comes from. Learn how this coalition of tech giants is building the trust layer for the internet.