
Erik Svilich
Founder and CEO, Encypher | Co-Chair, C2PA Text Provenance Task Force
About
Erik Svilich founded Encypher to build the production infrastructure for content provenance in the AI era. He serves as Founder and CEO, leading the company from inception through the publication of the C2PA 2.3 specification in January 2026.
Erik authored Section A.7 of the C2PA 2.3 specification, the first open standard defining how text content is cryptographically authenticated. Section A.7 specifies invisible encoding, digital signatures, sentence-level authentication, and tamper-evident provenance chains. The specification was published by the C2PA on January 8, 2026. He co-chairs the C2PA Text Provenance Task Force alongside representatives from Google, BBC, OpenAI, Adobe, and Microsoft.
On January 7, 2026, Erik filed patent ENC0100, covering 83 claims related to granular content attribution and sentence-level provenance. The patent covers the core technical methods underlying Encypher's sentence-level provenance system.
Prior to Encypher, Erik led a digital transformation initiative that scaled a $5M business and brings experience in AI SaaS, enterprise software, and business operations. He holds a deep interest in the intersection of cryptographic proof, intellectual property law, and AI governance.
Standards Contributions
C2PA Section A.7 - Text Provenance Author
Authored Section A.7 of the C2PA 2.3 specification, which defines the technical standard for embedding cryptographic provenance in plain text. The section covers invisible text encoding, sentence-level authentication, digital signatures signature schemes, and verification procedures. Published January 8, 2026.
C2PA Text Provenance Task Force - Co-Chair
Co-chairs the C2PA Text Provenance Task Force, the working group responsible for developing and maintaining the text provenance standard within C2PA. Task Force members include representatives from Google, BBC, OpenAI, Adobe, and Microsoft. The Task Force drives adoption, resolves technical questions, and extends the specification to cover emerging use cases.
Reference Implementation
Encypher serves as the reference implementation of C2PA Section A.7 for text provenance. The API, Python SDK, TypeScript SDK, WordPress plugin, and Chrome extension all implement the specification authored by Erik and ratified by the C2PA membership.
Patent ENC0100 (Pending)
Filed January 7, 2026. 83 claims covering granular content attribution with Merkle tree authentication for tamper-evident documentation of text segment origins and modifications.
Articles by Erik Svilich
- C2PA 2.3 Published - Encypher Authors Text Provenance Standard
- Why Text Was the Missing Piece in Content Authenticity
- The AI Copyright Wars Are Here: A Technical Peace Treaty Is the Only Way Forward
- Sentence-Level Attribution: Why Paragraph-Level Proof Is Not Enough
- Cryptographic Watermarking vs AI Detection: Why Proof Beats Probability
- The Shift from AI Copyright Litigation to Licensing Marketplace Infrastructure