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Reading room / threat-modeling.sgit.ai / llms-full.txt · section 9 of 19

03 — Site Architecture: threat-modeling.sgit.ai

Version v0.33.63 · 7 September 2026 Base House pattern (copy pki.sgit.ai): llms.txt + /llms-full.txt, /documents/ raw markdown, markdown twin at every URL, /admin/comms.html, /shipped/, versions, participant page.


1. URL scheme

/                        the thesis: a threat model is a claim; here are ours being checked
/eleven-layers/          the ThreatModCon 2025 vault, embedded + explained
/validated/              the 16→17 March claim-and-check pair, side by side
/papers/                 the seven white papers, one page each
/papers/<slug>/          summary, key claims, PDF + LinkedIn links, co-authorship note
/practice/               the method: bottom-up file-by-file, the parallel security tree
/practice/security-json/ the .security.json schema as a reusable artefact
/practice/stride/        STRIDE applied with honest mitigation status
/practice/two-modes/     the do-not-average-two-modes pattern
/graph/                  threat models as vault-native graph data
/disclosure/             the mandatory-disclosure position
/agentic/                threat-modeling AI systems (prompt injection, agent permissions)
/documents/              raw markdown of everything

2. The spine: claim → check

Every substantive page carries the same two-part structure the corpus already uses: what we claimed and what checking it produced. /validated/ is the purest instance; /practice/stride/ shows it as NOT MITIGATED rows; /eleven-layers/ shows it as the data-repair note. Do not build a page that makes a claim with nothing checking it.

3. Data model

Threat models are graph data, not prose — that is the whole argument, and the site must not contradict it by being a pile of markdown. Each published model gets a JSON twin: nodes (Asset, Threat, Vulnerability, Mitigation, Actor, Incident), edges (targets, mitigates, is-instance-of, crosses-trust-boundary), and per-finding status. /eleven-layers/ already has this shape upstream — 51 nodes, 179 threats — so it is the schema's proof rather than a new invention.

Generated, not claimed: node/threat/finding counts, the corpus file counts, and the validation verdict tallies all come from the data. Date every one.

4. Deconfliction with siblings

TopicOwnerThis site's part
Wardley maps as a techniquewardley-maps.sgit.aiOnly the five threat-prioritisation walkthroughs, as an application
G³, MGraph-DB, graph theorythe graphs siblingOnly threat-model-shaped graphs; link out for the substrate
ISO 27001, EU AI Act, GDPRstandards.sgit.aiOnly framework-overlay-as-graph-edge; standards text stays there
Risk registers, acceptancerisks.sgit.aiOnly the risk_decision field as it appears in the security schema
Vault mechanics, keyspki.sgit.ai / sgit.aiOnly what a threat model needs to say about them
NFR security posturenfrs.sgit.aiThreat modelling is the method; NFR owns the property

The rule that keeps this clean: this site owns the act of modelling threats. If material is about the thing being modelled rather than the modelling, it belongs to a sibling.

5. The ThreatModCon vault is embedded, not copied

/eleven-layers/ embeds the live vault (the vault-app-embed pattern from sgit.ai's own demos), with the explanation around it. Do not re-host the eleven models as site pages — the vault is the artefact, and a published vault demonstrating the platform's own argument is worth more than a static copy.

6. What this site does NOT do

No threat-modelling-as-a-service pitch on the main line (the 9 June services paper lives under /papers/ clearly labelled as positioning). No open findings against live systems, including third parties (04__). No methodology comparison table that declares a winner — the corpus's position is that fragmentation is solved by linking methods in a graph, not by picking one.


This document is released under the Creative Commons Attribution 4.0 International licence (CC BY 4.0).