chore(ms-ai-architect): scrub identifying references from fixtures + remove screenshots
Removes:
- All 6 PNG screenshots (playground/screenshots/) and the capture script
(scripts/screenshots/capture-playground.py).
- "Screenshots" section from plugin README.
- "Screenshot-suite" section from plugin CLAUDE.md.
- Screenshots bullet from marketplace root README's ms-ai-architect listing.
Scrubs the 17 synthetic fixtures + CHANGELOG/CLAUDE/README of identifying
references: organization names, government-agency names, agency-specific
terminology, sector-specific use cases. Replaced with generic placeholder
data ("Acme AS" / "Demosystem") that exercises the same parser archetypes.
Plugin's domain-target wording (Datatilsynet, offentlig sektor, offentlig
myndighet, rettshåndhevelse, NS 5814, Utredningsinstruksen, EU AI Act
Annex III categories) is intact — those describe the plugin's intended
audience, not any specific entity.
This is a cleanup commit. Earlier git history still contains the prior
references; force-push or rebase is required if scrubbing the history is
desired. That decision is out of scope here — please run it separately
if needed.
Verified post-scrub:
- bash tests/validate-plugin.sh -> 215/215 PASS
- bash tests/run-e2e.sh --playground -> 240/240 PASS (170 + 70)
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@ -1,6 +1,6 @@
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# Sikkerhetsvurdering 6×5 — ANPR-trafikkanalyse
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# Sikkerhetsvurdering 6×5 — Demosystem
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System: ANPR-trafikkanalyse (Statens vegvesen)
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System: Demosystem (Acme AS)
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Rammeverk: NSM Grunnprinsipper + Microsoft Cloud Security + EU AI Act Art. 15
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## Score per dimensjon
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@ -30,7 +30,7 @@ Rammeverk: NSM Grunnprinsipper + Microsoft Cloud Security + EU AI Act Art. 15
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| ID | Severity | Lokasjon | Anbefaling |
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|----|----------|----------|------------|
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| S-01 | high | Identity | Aktivér PIM på alle serviceprinciper innen 2026-06-01 |
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| S-02 | medium | Data | Aktivér Customer Lockbox for trafikkdata |
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| S-02 | medium | Data | Aktivér Customer Lockbox for operasjonelle data |
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| S-03 | high | Model | Gjennomfør formell red-team-runde med Azure AI Red Team-veiledning |
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| S-04 | low | Network | Periodisk verifikasjon av Private Endpoint-konfigurasjon |
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| S-05 | medium | Logging | Implementer ML-basert avviksdeteksjon på AI-output-rate |
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