feat(ms-ai-architect): decision-b Enhet 2 — Dato→Last-updated relabel 16 filer (21 header-kandidater: 16 rene + 5 dual utskilt til dedup), isRealDateValue placeholder-guard [skip-docs]
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# Kostnadsoptimalisering i MLOps-pipelines
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**Dato:** 2026-04
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**Last updated:** 2026-04
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**Category:** MLOps & GenAIOps
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**Relevans:** Azure Machine Learning, MLOps-implementering, FinOps for AI
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**Type:** reference
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# Governance and Audit Trails in MLOps
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**Category:** MLOps & GenAIOps
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**Dato:** 2026-06-19
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**Last updated:** 2026-06-19
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**Confidence:** 95% (High — bygger på offisiell Microsoft-dokumentasjon og Azure-referansearkitekturer)
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**Type:** reference
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**Source:** https://learn.microsoft.com/azure/machine-learning/concept-responsible-ai-dashboard
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# Inferencing Optimization and Caching
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**Category:** MLOps & GenAIOps
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**Dato:** 2026-06-19
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**Last updated:** 2026-06-19
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**Forfattet av:** Cosmo Skyberg, Senior Microsoft AI Solution Architect
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**Type:** reference
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**Source:** https://learn.microsoft.com/azure/machine-learning/concept-onnx
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# Infrastructure as Code for MLOps
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**Dato:** 2026-06-19
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**Last updated:** 2026-06-19
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**Category:** MLOps & GenAIOps
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**Forfatter:** Cosmo Skyberg, Senior Microsoft AI Solution Architect
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**Type:** reference
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# Monitoring and Observability for ML Systems
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**Category:** MLOps & GenAIOps
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**Dato:** 2026-04
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**Last updated:** 2026-04
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**Kilder:** Microsoft Learn (azure-machine-learning, azure-monitor)
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**Konfidensgrad:** ⭐⭐⭐⭐⭐ (Verifisert mot offisiell Microsoft-dokumentasjon)
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**Type:** reference
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# Anomaly Detection for AI Systems
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**Dato:** 5. februar 2026
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**Last updated:** 5. februar 2026
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**Category:** Monitoring & Observability
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**Målgruppe:** AI-arkitekter, DevOps-team, MLOps-ingeniører
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**Type:** reference
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# Application Insights for LLM Monitoring
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**Category:** Monitoring & Observability
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**Dato:** 2026-02-05
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**Last updated:** 2026-02-05
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**Status:** Komplett
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**Type:** reference
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# Distributed Tracing for AI Pipelines
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**Category:** Monitoring & Observability
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**Dato:** 2026-06-19
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**Last updated:** 2026-06-19
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**Status:** ✅ Komplett
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**Type:** reference
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**Source:** https://learn.microsoft.com/azure/azure-monitor/app/opentelemetry-overview
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# Log Analytics KQL Queries for AI
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**Category:** Monitoring & Observability
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**Dato:** 2026-05
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**Last updated:** 2026-05
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**Forfatter:** Cosmo Skyberg, AI Solution Architect
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**Type:** reference
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**Source:** https://learn.microsoft.com/azure/machine-learning/monitor-azure-machine-learning
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# Token Usage Tracking and Attribution
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**Category:** Monitoring & Observability
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**Dato:** 2026-06-19
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**Last updated:** 2026-06-19
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**Versjon:** 1.0
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**Type:** reference
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**Source:** https://learn.microsoft.com/azure/foundry/concepts/manage-costs
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# AI Governance Structure - Building an Organizational Framework
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**Dato:** 2026-02-03
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**Last updated:** 2026-02-03
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**Category:** Responsible AI & Governance
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**Målgruppe:** Tekniske beslutningstakere, AI-arkitekter, governance-team
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**Oppdateringsfrekvens:** Kvartalsvis (Q1 2026)
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# Red Teaming AI Models - Adversarial Testing & Security
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**Dato:** 2026-06-19
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**Last updated:** 2026-06-19
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**Category:** Responsible AI & Governance
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**Målgruppe:** Arkitekter, sikkerhetsteam, AI-utviklere
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**Konfidensgrad:** ⚠️ HIGH — Basert på offisiell Microsoft-dokumentasjon (jun 2026)
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# Adversarial Input Robustness Testing and Fuzzing
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**Category:** AI Security Engineering
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**Dato:** 2026-06-19
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**Last updated:** 2026-06-19
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**Status:** Aktiv
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**Type:** reference
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**Source:** https://learn.microsoft.com/azure/foundry/concepts/ai-red-teaming-agent
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# Model Fingerprinting and Watermarking for Attribution
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**Category:** AI Security Engineering
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**Dato:** 2026-06-19
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**Last updated:** 2026-06-19
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**Status:** Active
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**Type:** reference
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**Source:** https://learn.microsoft.com/azure/machine-learning/concept-model-management-and-deployment
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# Secure Model Deployment and Runtime Hardening
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**Category:** AI Security Engineering
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**Dato:** 2026-02-05
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**Last updated:** 2026-02-05
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**Målgruppe:** Arkitekter som skal sikre AI-modeller i produksjonsmiljøer
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**Type:** reference
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# Supply Chain Security for AI Models and Dependencies
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**Category:** AI Security Engineering
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**Dato:** 2026-06-19
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**Last updated:** 2026-06-19
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**Relatert plattform:** Microsoft Foundry, Azure Machine Learning, Azure DevOps, Microsoft Defender for Cloud
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**Type:** reference
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**Source:** https://learn.microsoft.com/azure/machine-learning/concept-vulnerability-management
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