
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.
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.

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.

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

In education and professional writing, a troubling trend has emerged. AI text detection tools are flagging innocent authors for 'using AI' when they haven't.