docs(ms-ai-architect): KB-refresh HIGH 5/11 — responsible-ai-policy: Foundry Agent Service monitoring merket (Preview)

skills/ms-ai-governance/references/responsible-ai/responsible-ai-policy-development.md

@@ -1,6 +1,6 @@
 # Responsible AI Policy Development - Creating Organizational Standards
 
-**Last updated:** 2026-05
+**Last updated:** 2026-06-24 | Verified: MCP 2026-06-24
 **Status:** GA
 **Category:** Responsible AI & Governance
 
@@ -227,7 +227,7 @@ Start: New AI initiative or capability?
 | **Content Safety** | Harmful content filtering (text, image, multimodal) | [Azure AI Content Safety](https://learn.microsoft.com/azure/ai-services/content-safety/) - konfigurerbare severity thresholds |
 | **Evaluation Tools** | Pre-deployment safety, hallucination, bias testing | [Foundry evaluation SDK](https://learn.microsoft.com/azure/ai-studio/) - integreres i CI/CD |
 | **Model Registry** | Versioning, approval workflows, provenance tracking | [Azure ML Model Registry](https://learn.microsoft.com/azure/machine-learning/concept-model-management-and-deployment) - RBAC-controlled |
-| **Monitoring** | Model drift, performance degradation, quality metrics | [Foundry Agent Service metrics](https://learn.microsoft.com/azure/foundry/observability/how-to/how-to-monitor-agents-dashboard) - alert rules |
+| **Monitoring** | Model drift, performance degradation, quality metrics | [Foundry Agent Service metrics (Preview)](https://learn.microsoft.com/azure/foundry/observability/how-to/how-to-monitor-agents-dashboard) - alert rules |
 | **Data Governance** | Data lineage, sensitivity labels, DLP policies | [Microsoft Purview integration](https://learn.microsoft.com/purview/ai-azure-services) |
 
 **Policy Implementation Example (Foundry):**