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.
As AI-generated content floods the internet, models trained on synthetic data degrade. Verified human-created content becomes the scarcest and most valuable resource in AI.
The C2PA 2.3 specification is now live, featuring Section A.7 on Embedding Manifests into Unstructured Text, authored by Encypher. This marks a milestone for text authentication.
From landmark court decisions to regulatory milestones, 2025 was the year content provenance moved from concept to critical infrastructure. Here's what happened and what it means.
AI companies claim innocent infringement because they 'didn't know' whose content they scraped. Here's how this defense works—and how publishers can eliminate it.
Your content reaches millions through syndication, aggregators, and AI training—but the connection to your organization vanishes. Here's why this matters and what's changing.
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.
Industry veterans hail Encypher's invisible cryptographic text signatures as a breakthrough that solves C2PA's top challenge and unites content and AI companies on a universal authentication standard.
Courts are drowning in unreliable AI detection statistics. Cryptographic provenance offers the mathematical certainty judges demand in billion-dollar copyright battles.
February 2025 marked a turning point in AI's legal landscape. For the first time, a U.S. court explicitly rejected an AI company's fair use defense in Thomson Reuters v. ROSS Intelligence, while the EU AI Act's enforcement deadline triggered global compliance scrambles worth billions.
Detailing our commitment to C2PA alignment and achieving verifiable authenticity for non-structured text formats.