docs(ms-ai-architect): KB-refresh tema-b — Foundry-navnesveip «Azure AI Foundry»→«Microsoft Foundry» (233 filer)

Verifisert mot offisiell MS-doc (juni 2026): «Microsoft Foundry» er det
gjeldende produkt-/portalnavnet; «Foundry (classic)» = gamle «Azure AI Foundry»
(/azure/foundry/ vs /azure/foundry-classic/). Premiss bekreftet før sveip.

Multi-regel, IKKE naiv s/Azure AI Foundry/Microsoft Foundry/ — MS dropper
«Azure AI» (legger IKKE til «Microsoft») for to produktvarianter:
- «Azure AI Foundry Agent[ Service|s]» → «Foundry Agent Service/Agents» (MS-form)
- «Azure AI Foundry Models» → «Foundry Models» (i «Azure OpenAI in Foundry Models»)
- «Azure AI Foundry SDK» → «Microsoft Foundry SDK» (operatør-valg)
- «Azure AI Foundry portal/project» + generisk → «Microsoft Foundry»
- Pre-eksisterende «Microsoft Foundry Models» (4) normalisert → «Foundry Models»

Bevart: «Azure OpenAI», «Azure AI Inference SDK», «Azure AI Search»,
«Azure AI Services», kode-IDer. Historisk ref «(tidligere Azure AI Foundry)»
i model-catalog-2026.md beskyttet via lookbehind. URL /azure/ai-foundry/→
/azure/foundry/ kun i owasp-llm-top10 (KB-ref); docs/-filer deferred.

Scope: skills (inkl. 3 SKILL.md) + commands + agents + README + CLAUDE.
Ekskludert: docs/ (interne), playground/+tests/ fixtures (testdata),
CHANGELOG.md (historisk logg), STATE.md (gitignored).

3 SKILL.md endret (advisor/engineering/security) → judge-cache teknisk
invalidert for disse, men scorer uendret: advisor 91, eng/gov/infra/sec 96
(alle ≥90). validate 239/0. 0 «Azure AI Foundry» igjen (utenom bevart ref).

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

skills/ms-ai-security/references/ai-security-engineering/adversarial-input-robustness-testing.md

@@ -34,7 +34,7 @@ Microsoft bruker Adversarial Machine Learning Threat Taxonomy som grunnlag for t
 
 ### Azure AI Red Teaming Agent
 
-Azure AI Foundry tilbyr AI Red Teaming Agent som automatiserer adversarial testing:
+Microsoft Foundry tilbyr AI Red Teaming Agent som automatiserer adversarial testing:
 
 **Capabilities:**
 - Automatiserte scans for safety risks ved å simulere adversarial probing
@@ -128,7 +128,7 @@ Open-source framework fra Microsoft for AI red teaming:
 - Multi-turn conversation attacks
 - Dynamic attack strategy chaining
 - Support for både lokale og cloud-baserte red teaming runs
-- Integrering med Azure AI Foundry for centralisert logging
+- Integrering med Microsoft Foundry for centralisert logging
 
 **Typisk workflow:**
 1. Definer target (model/agent endpoint)
@@ -416,7 +416,7 @@ logger.info("ASR_METRIC", extra={
 - **Pre-deployment:** Full comprehensive scan
 - **Production:** Monthly scheduled + ad-hoc etter incidents
 
-### Azure AI Foundry Workflow
+### Microsoft Foundry Workflow
 
 **Step 1: Setup**
 ```python
@@ -458,7 +458,7 @@ outputs = await simulator(
 
 **Step 4: Analyze Results**
 ```python
-# View results in Azure AI Foundry portal
+# View results in Microsoft Foundry portal
 # ASR per risk category
 # Individual attack-response pairs
 # Scorecard with pass/fail per attack strategy
@@ -504,7 +504,7 @@ outputs = await simulator(
 ## References
 
 - [Threat Modeling AI/ML Systems](https://learn.microsoft.com/en-us/security/engineering/threat-modeling-aiml) — Microsoft Security Engineering
-- [AI Red Teaming Agent](https://learn.microsoft.com/en-us/azure/foundry/concepts/ai-red-teaming-agent) — Azure AI Foundry
+- [AI Red Teaming Agent](https://learn.microsoft.com/en-us/azure/foundry/concepts/ai-red-teaming-agent) — Microsoft Foundry
 - [PyRIT Framework](https://azure.github.io/PyRIT/) — Microsoft open-source red teaming tool
 - [Artificial Intelligence Security (MCSB)](https://learn.microsoft.com/en-us/security/benchmark/azure/mcsb-v2-artificial-intelligence-security) — Azure Security Benchmark
 - [Failure Modes in Machine Learning](https://learn.microsoft.com/en-us/security/engineering/failure-modes-in-machine-learning) — Microsoft Security