fix(ms-ai-architect): Foundry URL-navnerom-migrering (ai-foundry → foundry/foundry-classic, 141 filer)

Task #5 del 1/3 (URL-migrering). Verifiseringen motbeviste STATE.md-premisset om ren prefix-swap: rebrand er per-URL, ikke mekanisk. En blind sed ai-foundry→foundry ville lagd 56 nye 404-er (classic-stiene finnes ikke under nytt foundry/-prefiks — bekreftet empirisk).

Metode: resolverte alle 237 unike KB-URLer mot live redirects (curl -L), bygde full-URL→full-URL-mapping fra faktisk url_effective. Bevarer locale-form, query (?view=) og #fragment per lenke.

- 231 navnerom-erstatninger over 141 filer (408 forekomster):
  - 161 → azure/foundry/ (98 ren prefix-swap + 10 sti-reorg + reorg-tilfeller)
  - 69 → azure/foundry-classic/ (eldre hub-spor: assistants, hub-DR, on-your-data; faktisk redirect-mål per operatorvalg)
  - 1 → azure/foundry-local/

- 2 døde lenker (404) fikset til verifiserte mål:
  - agent-service → azure/foundry/agents/overview
  - concepts/evaluation-evaluators/ → azure/foundry/how-to/evaluate-generative-ai-app

- 5 path-/display-referanser (uten https://, i backticks/lenketekst) rettet manuelt.

- 6 slug-baserte ai-foundry-treff urørt (scope-grense): managed-grafana-dashboard, security-baseline, power-platform prompt-builder, architecture baseline-chat (sistnevnte slug-rebrand i annet navnerom — mulig fremtidig funn).

- Parkert til task #5 del 2/3: Norway East GPT-5-datasuverenitet-fiks + modellkatalog-utvidelse (5.3/5.4/5.5, gpt-oss, sora-2).

Verifisert: 0 gjenværende azure/ai-foundry/-navnerom i skills/. validate-plugin.sh 219 PASS. test-kb-integrity.sh 117/117 passed.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01REiKFhP4w6xGXXqWKpPCJJ

skills/ms-ai-security/references/ai-security-engineering/jailbreak-prevention-production.md

@@ -519,7 +519,7 @@ print(f"Jailbreak resistance score: {results['jailbreak_resistance']}")
 ### Microsoft Learn Documentation
 
 1. **Prompt Shields in Azure AI Foundry**
-   [https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/content-filter-prompt-shields](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/content-filter-prompt-shields)
+   [https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/content-filter-prompt-shields](https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/content-filter-prompt-shields)
    *Offisiell dokumentasjon for Prompt Shields i Azure OpenAI content filtering-systemet.*
 
 2. **Prompt Shields in Azure AI Content Safety**
@@ -527,7 +527,7 @@ print(f"Jailbreak resistance score: {results['jailbreak_resistance']}")
    *Unified API for jailbreak detection med user scenarios og implementation guide.*
 
 3. **Safety System Messages - Step-by-step Authoring Best Practices**
-   [https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/system-message](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/system-message)
+   [https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/system-message](https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/system-message)
    *Best practices for system message design som første forsvarslinje.*
 
 4. **Security Planning for LLM-based Applications**
@@ -535,7 +535,7 @@ print(f"Jailbreak resistance score: {results['jailbreak_resistance']}")
    *Comprehensive security planning guide med threat modeling for LLM apps.*
 
 5. **Azure OpenAI Default Safety Policies**
-   [https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/default-safety-policies](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/default-safety-policies)
+   [https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/default-safety-policies](https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/default-safety-policies)
    *Default safety policies inkludert jailbreak detection thresholds.*
 
 6. **API Management - llm-content-safety Policy**