chore(ms-ai-architect): KB checkpoint refresh — 30 files (critical 9 + high batch 1) [skip-docs]

- Critical bucket (9 files): substantive content updates basert på MCP-fetch
  - enterprise-governance: DSPM front door, AI-app-kategorier (3), single-tenant Entra ID
  - rag-cost-optimization, observability, ai-services-enterprise, multi-model-strategy: dato-bump
  - deterministic-cost: Copilot Credits offisiell common currency (2025-09-01), CCCU prepurchase
  - gpt5-gpt41-pricing: utvidet Copilot Studio modell-lineup (GPT-5.2, GPT-5.3, Claude 4.6, Grok 4.1)
  - vector-storage, request-batching: dato-bump (DS allerede dekkende)

- High batch 1 (21 files, 10-30): Last updated 2026-04→2026-05 dato-bump
  Substantive Microsoft Learn-endringer var marginale per fetch — kosmetiske oppdateringer.

Resterende: high batch 2 (filer 31-53, 23 filer) i ny sesjon. Se NEXT-SESSION-PROMPT.local.md.
This commit is contained in:
Kjell Tore Guttormsen 2026-05-05 14:28:35 +02:00
commit 82bd665ba0
30 changed files with 61 additions and 35 deletions

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# Data Loss Prevention and Governance in Copilot
**Last updated:** 2026-04
**Last updated:** 2026-05
**Status:** GA (DLP for sensitivity labels), Preview (DLP for sensitive prompts)
**Category:** Copilot Extensibility & Integration

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# Prompt Engineering and Governance for Copilot
**Last updated:** 2026-04
**Last updated:** 2026-05
**Status:** GA
**Category:** Copilot Extensibility & Integration

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# Enterprise Governance and Deployment Controls
**Last updated:** 2026-04
**Last updated:** 2026-05
**Status:** GA
**Category:** Copilot Extensibility & Integration
@ -177,6 +177,8 @@ New-DLPComplianceRule -Name "Copilot Rule" -Policy "Copilot Policy" -AdvancedRul
- Agent authentication: None, Microsoft, Manual (custom OAuth)
- Role-based access control (RBAC) via Dataverse security roles
- Microsoft Entra ID group-based security
- **Single-tenant Entra ID app registration for nye agenter (Verified 2026-05):** Copilot Studio oppretter én app-registrering per custom agent for å identifisere og sikre kommunikasjon med kanaler/skills. Eksisterende agenter har multitenant-registrering; nye agenter får single-tenant. Microsoft undersøker migrasjon av eksisterende agenter til single-tenant. App-registreringen aksesserer ikke kundedata.
- **Tenant isolation:** Ikke støttet by default i Copilot Studio. Cross-tenant connections er tillatt med Entra ID-credentials. Admin kan slå PÅ tenant isolation for å begrense kun til godkjente tenants (cross-tenant-restrictions). (Verified 2026-05)
---
@ -427,10 +429,15 @@ Start
- Audit logs for all Copilot activities (interactions, agent deployments, policy changes)
**Compliance:**
- Microsoft Purview Data Security Posture Management for AI
- Insider risk management (detect abnormal agent usage patterns)
- **DSPM for AI som "front door"** — Data Security Posture Management for AI er nå anbefalt startpunkt for å oppdage, sikre og anvende compliance-kontroller på tvers av AI-bruk i tenantet (Verified 2026-05)
- **Tre AI-app-kategorier i Purview:**
1. **Copilot experiences and agents** — M365 Copilot, Security Copilot, Copilot in Fabric, Copilot Studio, Microsoft Facilitator, Channel Agent in Teams
2. **Enterprise AI apps** — Entra-registered AI apps, Microsoft Foundry, ChatGPT Enterprise
3. **Other AI apps** — Tredjepart-LLMs (ChatGPT consumer, Google Gemini, DeepSeek) detektert via Defender for Cloud Apps
- **Microsoft Agent 365** har dedikert Purview-side (`ai-agent-365`) for security & compliance
- **Risky AI usage policy template** i Insider Risk Management — detekterer prompt injection-angrep og tilgang til beskyttet materiale, integrert med Microsoft Defender XDR (Verified 2026-05)
- Communication compliance (monitor agent responses for compliance violations)
- eDiscovery (search agent conversation transcripts for legal holds)
- eDiscovery (search agent conversation transcripts for legal holds — bruk `Copilot activity` query condition)
- Retention policies (auto-delete agent conversations etter retention period)
**PowerShell-eksempel for Purview collection policy:**

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# Agent 365 Governance and Enterprise Deployment
**Last updated:** 2026-04
**Last updated:** 2026-05
**Status:** GA
**Category:** Agent Orchestration & Automation

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# Agent Autonomy and Control - Governance Framework
**Last updated:** 2026-04
**Last updated:** 2026-05
**Status:** GA
**Category:** Agent Orchestration & Automation

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# Azure AI Services - Enterprise Architecture Patterns
**Last updated:** 2026-04 | Verified: MCP 2026-04
**Last updated:** 2026-05 | Verified: MCP 2026-05
**Status:** GA
**Category:** Azure AI Services (Foundry Tools)

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# Microsoft Purview Data Governance
**Last updated:** 2026-04
**Last updated:** 2026-05
**Status:** GA
**Category:** Data Engineering for AI

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# Governance and Audit Trails in MLOps
**Kategori:** MLOps & GenAIOps
**Dato:** 2026-04
**Dato:** 2026-05
**Confidence:** 95% (High — bygger på offisiell Microsoft-dokumentasjon og Azure-referansearkitekturer)
## Introduksjon

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# RAG Cost Optimization and Efficiency
**Last updated:** 2026-04
**Last updated:** 2026-05
**Status:** GA
**Category:** RAG Architecture & Semantic Search

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# Alerting Strategies and Escalation Policies for AI Incidents
**Last updated:** 2026-04
**Last updated:** 2026-05
**Status:** GA
**Category:** Monitoring & Observability

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# Compliance Monitoring and AI Governance Dashboards
**Last updated:** 2026-04
**Last updated:** 2026-05
**Status:** GA
**Category:** Monitoring & Observability

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# Endpoint Health Monitoring and Capacity Planning
**Last updated:** 2026-04
**Last updated:** 2026-05
**Status:** GA
**Category:** Monitoring & Observability

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# Log Analytics KQL Queries for AI
**Kategori:** Monitoring & Observability
**Dato:** 2026-04
**Dato:** 2026-05
**Forfatter:** Cosmo Skyberg, AI Solution Architect
## Oversikt

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# Observability Patterns for Copilot Extensions and Plugins
**Last updated:** 2026-02
**Last updated:** 2026-05
**Status:** GA
**Category:** Monitoring & Observability

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# SLA Monitoring and Availability Tracking for AI Services
**Last updated:** 2026-04
**Last updated:** 2026-05
**Status:** GA
**Category:** Monitoring & Observability

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# Norges nasjonale AI-strategi
**Last updated:** 2026-04
**Last updated:** 2026-05
**Status:** Gjeldende nasjonale retningslinjer (oppdatert 2024-2025)
**Category:** Norwegian Public Sector AI Governance

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# Utredningsinstruksen - AI Project Scoping and Methodology
**Last updated:** 2026-02
**Last updated:** 2026-05
**Status:** Gjeldende regelverk (Effective regulation)
**Category:** Norwegian Public Sector Governance
**Confidence:** High (offisielle kilder fra regjeringen.no og DFØ)

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# AI Ethics in Public Sector - Norwegian Government Context
**Last updated:** 2026-04
**Last updated:** 2026-05
**Status:** GA
**Category:** Responsible AI & Governance

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# Algorithmic Accountability - Audit Trails and Traceability
**Last updated:** 2026-02
**Last updated:** 2026-05
**Status:** GA
**Category:** Responsible AI & Governance

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# Responsible AI Training and Awareness - Organizational Capability
**Last updated:** 2026-04
**Last updated:** 2026-05
**Status:** GA
**Category:** Responsible AI & Governance

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# Transparency and Documentation - Regulatory and Best Practice Standards
**Last updated:** 2026-04
**Last updated:** 2026-05
**Status:** GA
**Category:** Responsible AI & Governance

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# Data Leakage Prevention in AI Contexts
**Kategori:** AI Security Engineering
**Sist oppdatert:** 2026-04 | Verified: MCP 2026-04
**Sist oppdatert:** 2026-05 | Verified: MCP 2026-05
**Målgruppe:** Enterprise AI architects og security teams
## Oversikt

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# Model Fingerprinting and Watermarking for Attribution
**Kategori:** AI Security Engineering
**Dato:** 2026-04
**Dato:** 2026-05
**Status:** Active
---

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# PII Detection and Masking in Norwegian Text
**Last updated:** 2026-04
**Last updated:** 2026-05
**Status:** GA
**Category:** AI Security Engineering

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# Deterministisk kostnadsberegningsmodell for AI-arkitekturvurderinger
**Sist oppdatert:** 2026-02 (v1.0)
**Sist oppdatert:** 2026-05 (v1.1)
**Status:** GA
**Category:** Cost Optimization & FinOps for AI
@ -55,9 +55,12 @@ Modellen sikrer at:
### 1.3 Microsoft Copilot Studio
> **Fra 2025-09-01:** Copilot Credits erstattet *messages* som felles valuta på tvers av Copilot Studio-kapabiliteter. Antall per prepaid pack og pay-as-you-go-rate er uendret. (Verified MCP 2026-05)
| Modell | Pris | Inkludert | Kilde | Verifisert |
|--------|------|-----------|-------|------------|
| **Pay-as-you-go** | $0.01 per melding (Copilot Credit) | Ubegrenset (betaler per bruk) | [Copilot Studio Licensing Guide Feb 2026](https://learn.microsoft.com/microsoft-copilot-studio/billing-licensing) | 2026-02 |
| **Pay-as-you-go** | $0.01 per Copilot Credit | Azure-fakturert via billing policy, ingen up-front commitment | [Copilot Studio Licensing Guide](https://learn.microsoft.com/microsoft-copilot-studio/billing-licensing) | 2026-05 |
| **Copilot Credit prepurchase plan** | Årlig prepaid (CCCU-pool) | Copilot Credit Commit Units brukes på tvers av Microsoft-eligible produkter; kjøpes i Azure portal | [Copilot Studio Licensing Guide](https://learn.microsoft.com/microsoft-copilot-studio/billing-licensing) | 2026-05 |
| **Capacity Pack (lisens)** | $200/måned per pack | 25 000 Copilot Credits/pack | [Copilot Studio Licensing Guide Feb 2026](https://learn.microsoft.com/microsoft-copilot-studio/billing-licensing) | 2026-02 |
| **M365 Copilot-brukerrettighet** | Inkludert i M365 Copilot | Fair Usage Limit | [Copilot Studio Licensing Guide Feb 2026](https://learn.microsoft.com/microsoft-copilot-studio/billing-licensing) | 2026-02 |

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# GPT-5 og GPT-4.1: Prismodeller og kostnadsoptimalisering
**Last updated:** 2026-04
**Status:** GA (GPT-4.1-serien), GA (GPT-5-serien, begrenset tilgang for gpt-5 og gpt-5-codex)
**Last updated:** 2026-05 | Verified: MCP 2026-05
**Status:** GA (GPT-4.1-serien), GA (GPT-5-serien`gpt-5` og `gpt-5-codex` har registreringskrav). GPT-5.2 reasoning og GPT-5.3 chat lagt til i Copilot Studio-prompt-builder
**Category:** Cost Optimization & FinOps for AI
---
@ -400,6 +400,22 @@ Norsk offentlig sektor:
- Brukeren kan manuelt velge gpt-4.1 (Standard) eller gpt-5-reasoning (Premium) per prompt
- Copilot Credits-kvantum inkludert i lisenspakke; overskudd faktureres via pay-as-you-go
**Utvidet modell-lineup i Copilot Studio prompt-builder (Verified MCP 2026-05):**
| Modell | Rate | Kontekst | Kategori | Kommentar |
|--------|------|----------|----------|-----------|
| `gpt-4.1-mini` (default) | Basic | 128K | Mini | Trent t.o.m. juni 2024 |
| `gpt-4.1` | Standard | 128K | General | Trent t.o.m. juni 2024 |
| `gpt-5-chat` | Standard | 128K | General | Trent t.o.m. sept 2024 |
| `gpt-5-reasoning` | Premium | 400K | Deep | Trent t.o.m. sept 2024 |
| `gpt-5.2-reasoning` | Premium | 400K | Deep | Trent t.o.m. okt 2024 |
| `gpt-5.3-chat` | Standard | 128K | General | Managed model |
| `Claude Sonnet 4.6` | Standard | 200K | General | Eksternt fra Anthropic — egne data-handling-vilkår |
| `Claude Opus 4.6` | Premium | 200K | Deep | Eksternt fra Anthropic |
| `Grok 4.1 Fast` (Non-reasoning) | Standard | — | General | **Eksperimentell/ikke anbefalt for produksjon.** Microsoft har funnet lavere safety/jailbreak-scores; kan generere eksplisitt innhold |
GPT-4o mini og GPT-4o brukes fortsatt i US Government regions (offer comparable funksjonalitet til GPT-4.1 mini/GPT-4.1).
### AI Builder (Power Platform)
- Default modell: **gpt-4.1-mini** (Basic rate prompt builder credits)

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# Multi-Model Strategy: Cost-Performance Trade-offs
**Last updated:** 2026-04 | Verified: MCP 2026-04
**Last updated:** 2026-05 | Verified: MCP 2026-05
**Status:** GA
**Category:** Cost Optimization & FinOps for AI

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# Observability and Monitoring Cost Optimization
**Last updated:** 2026-04 | Verified: MCP 2026-04
**Last updated:** 2026-05 | Verified: MCP 2026-05
**Status:** GA
**Category:** Cost Optimization & FinOps for AI

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# Request Batching and Response Aggregation
**Last updated:** 2026-02
**Last updated:** 2026-05
**Status:** GA
**Category:** Cost Optimization & FinOps for AI

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# Vector Storage and Embedding Cost Optimization
**Last updated:** 2026-04
**Last updated:** 2026-05
**Status:** GA
**Category:** Cost Optimization & FinOps for AI