From e35a58f7a3da1aa101eeca33433bbcc44f8bed1e Mon Sep 17 00:00:00 2001 From: Kjell Tore Guttormsen Date: Wed, 24 Jun 2026 10:44:35 +0200 Subject: [PATCH] =?UTF-8?q?docs(ms-ai-architect):=20KB-refresh=20HIGH=205/?= =?UTF-8?q?11=20=E2=80=94=20responsible-ai-policy:=20Foundry=20Agent=20Ser?= =?UTF-8?q?vice=20monitoring=20merket=20(Preview)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../responsible-ai/responsible-ai-policy-development.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/skills/ms-ai-governance/references/responsible-ai/responsible-ai-policy-development.md b/skills/ms-ai-governance/references/responsible-ai/responsible-ai-policy-development.md index 7a2ad38..cc8eda1 100644 --- a/skills/ms-ai-governance/references/responsible-ai/responsible-ai-policy-development.md +++ b/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):**