docs(architect): weekly KB update — 66 files refreshed (2026-04)

Updated 66 stale knowledge base reference files (10 critical, 56 high)
across all 5 skills using Microsoft Learn MCP research.

Key factual updates:
- Groundedness Detection API: `correction` → `mitigating` param,
  `correctedText` → `correctionText` (breaking change)
- Copilot Studio: GPT-4.1 mini now default (was GPT-4o mini);
  Claude Sonnet 4.5 + Opus 4.5 added (experimental, 200K ctx)
- Agentic Retrieval: still public preview; 50M free tokens/month
- Azure security baselines: "Cognitive Services" → "Foundry Tools"
- Databricks: Delta Live Tables → Lakeflow Spark Declarative Pipelines
- MLflow 3 GenAI: new Feedback/Expectation data model
- Token tracking doc: "Azure OpenAI in Foundry Models through a gateway"
- Agent Registry: Risks column (M365 E7), Graph API (preview)
- Copilot DLP: new Entra AI Admin + Purview Data Security AI Admin roles
- ISO/IEC 42001: scope expanded to M365 Copilot, Foundry, Security Copilot
- Zero Trust: CAE now via Conditional Access, Strict Location Enforcement
- Purview: new Fabric Copilots/agents governance section
- AG-UI HITL: ApprovalRequiredAIFunction (C#), @tool approval_mode (Python)

All files: Last updated → 2026-04, *(Verified MCP 2026-04)* markers added.
Build registry: 1341 URLs from 387 files (+2 new URLs).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

skills/ms-ai-security/references/cost-optimization/vector-storage-cost-optimization.md

@@ -1,6 +1,6 @@
 # Vector Storage and Embedding Cost Optimization
 
-**Last updated:** 2026-02
+**Last updated:** 2026-04
 **Status:** GA
 **Category:** Cost Optimization & FinOps for AI
 
@@ -522,6 +522,8 @@ Hvis vector search brukes som grunnlag for Copilot for Microsoft 365:
 - Fine-tuned embedding-modeller for domenet
 - **Mål:** Maksimal ROI, konkurransefortrinn
 
+*(Verified MCP 2026-04)*
+
 ## Kilder og verifisering
 
 ### Microsoft Learn (MCP-verifisert, februar 2026)