Origin ↔ Continuum. Origin-dependent continuity framework authored by Alyssa Solen.
See where your AI code takes root — and how it grows over time.
CAP (Content / Creative AI Profile) specification: a verifiable audit framework for AI content workflows, including Safe Refusal Provenance (SRP) to cryptographically prove non-generation and policy enforcement.
Cross-domain meta-framework defining minimum requirements for cryptographically verifiable AI decision provenance. Maintained by VeritasChain Standards Organization (VSO).
Supply-chain security for AI fine-tuning. This repo generates zk-SNARK proofs per gradient step, binds proving keys to TEEs, prevents rollback, and publishes audit artifacts for public replay
Vaibot SDK for verifiable AI provenance. Register all your AI outputs as independently verified on an immutable ledger.
AEM Protocol is a prototype exploring how AI image provenance could be made visible and understandable. - A lightweight protocol for tracking AI image provenance + edits. The results are shown in a pixelated (water-)mark.
⬡ TRUSTINT — Trust Intelligence Architecture · provenance-first substrate for trust governance · SQLite (WAL+FTS5) · explicit db_path · idempotent ingest · ADR-driven · collapse-aware · 🥉 v0.1.1
The AI Provenance Protocol (APP) is an open standard for verifying AI-generated content. It provides a machine-readable format to track model identity, inputs, and human review. Designed for EU AI Act compliance (Article 50) and global governance, APP ensures transparency and accountability for any AI output.
🛡️ Enable cryptographic proof for AI safety filters, ensuring accountability and transparency in AI-generated content.
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