Welcome to SVRNOS Research - SVRNOS Research

SVRNOS publishes open research artifacts for the AI governance layer. This site holds three of them:

GER

The Governance Error Register. A classification system for AI platform governance failures, modeled on HTTP status codes. 71 codes across five tiers, anchored to documented incidents from the AI Incident Database.

7-Layer Model

The SVRNOS 7-Layer Model. An OSI-inspired technical stack map for AI governance, L1 (infrastructure) through L7 (application). Coming soon.

NCSA

The Non-Content Safety Attestation framework. Machine-readable evidence that governance ran, distinct from content moderation outcomes. v0.2 in active revision.

What this site is for

You arrived here because something happened with an AI system. Or because you’re an operator filing an incident report. Or a regulator drafting enforcement language. Or a journalist trying to compare two failures across vendors. Or a researcher looking for a shared vocabulary. The Governance Error Register exists so all those people can use the same words to describe the same failures.

Find the code that fits your case

Start with the lookup tool. Symptom picker, incident search, or filter by sector — narrows 71 codes to the 3-5 that match.

Browse all codes

Flat index of every code, sorted by tier. For when you already know what you’re looking for.

Authoritative source

The GER is published under CC BY 4.0. Every code carries a citable permalink. Versioned releases get a Zenodo DOI. The paper version (v0.2) lives at svrnos.com/research/governance-error-register. This site is the working registry — updated continuously, cited per-code.

How to use this site

Cite a code: every code page has a citation block ready to copy
Propose a code or refinement: hello@svrnos.com or svrnos.com/ask
Report an incident: SVRNOS doesn’t host an incident corpus — we map against the AI Incident Database (AIID). Submit incidents there

How to contribute

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Documentation Index

GER