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Topical cluster · for IT directors, compliance leaders, and AI risk officers

AI Governance & Risk

AI governance has two failure modes: do nothing and end up with shadow AI you cannot see, or do too much and end up with a policy nobody can deploy against. The middle path is operational governance: rules tied to the platform you actually run, gates that fire automatically, and inventories that update themselves.

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This cluster covers AI-specific governance for the Microsoft stack: ISO 42001 implementation, shadow AI discovery and controls, AI bills of material, model risk frameworks, data residency, and responsible AI implementation as a working program rather than a slide deck.

If you are the IT director responsible for "we have AI governance" and the answer cannot be a PDF nobody reads, start here.

Latest in this cluster

Beyond Spend Caps: Engineering AI Cost Governance for Azure's LLM Workloads

Beyond Spend Caps: Engineering AI Cost Governance for Azure's LLM Workloads

Spend caps tell you when you've already lost. Real AI cost governance on Azure is an architecture you commit at design time - observability, routing, procurement, and CI/CD enforcement.

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What this cluster covers

Subtopics in ai governance & risk

  • ISO 42001 implementation on Microsoft stacks
  • EU AI Act readiness (high-risk system controls, August 2026 deadline)
  • Shadow AI discovery (Defender for Cloud Apps, Power Platform CoE)
  • AI Bill of Materials (AIBoM) templates
  • Microsoft Purview + Sentinel for AI audit and observability
  • Risk classification and approval gates wired to managed environments

More in this cluster (6)

An AI Governance Framework on Microsoft Azure That Actually Works

An AI Governance Framework on Microsoft Azure That Actually Works

Most Microsoft Azure AI governance lives in documents auditors see through. Here is an AI governance framework where a mandatory gateway turns compliance into runtime architecture.

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Don't Build an AI Center of Excellence Until You Read This (2026)

Don't Build an AI Center of Excellence Until You Read This (2026)

Critical practitioner read of Microsoft's AI CoE framework: the seven assumptions the playbook makes about Executive Sponsors, role authority, and CoE evolution that fail in most real enterprises.

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Risk-Tiered Agent Governance: Microsoft's Tier 1/2/3 Model Annotated for Real Deployments (2026)

Risk-Tiered Agent Governance: Microsoft's Tier 1/2/3 Model Annotated for Real Deployments (2026)

Microsoft's 2026 playbook gives you a 3-tier risk model for AI agents. This is the practitioner annotation: concrete controls, tooling, cadence, and the Tier 0 the playbook does not name.

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Can You Trust AI With Dataverse Security? Four Designs, Three Wrong

Can You Trust AI With Dataverse Security? Four Designs, Three Wrong

Two violated documented Dataverse mechanics. One was a category error. The real architectural axis isn't AI vs human, it's what claims are cheap to mechanically verify.

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Shadow AI Governance for Microsoft Enterprises: Discovery to Control

Shadow AI Governance for Microsoft Enterprises: Discovery to Control

98% of enterprises have shadow AI. Only 30% have visibility. The 30-day discovery sprint using Defender for Cloud Apps, Purview, Entra, and Power Platform CoE Toolkit, with the 3-tier graduation framework.

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AI Governance Framework for Microsoft Enterprises: Operational Controls That Ship

AI Governance Framework for Microsoft Enterprises: Operational Controls That Ship

An operational AI governance framework for Microsoft stacks. Six components, ISO 42001 alignment, EU AI Act readiness, and the Microsoft tools (Purview, Entra, Foundry, Agent Governance Toolkit) that make it work.

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Common questions

AI Governance & Risk FAQ

The questions that come up most often in ai governance & risk engagements. Answers grounded in Microsoft documentation and field experience.

Do I need a separate AI governance policy or can I extend my existing GRC framework?

Extend your existing GRC framework. AI-specific risks (prompt injection, training data provenance, model drift) layer on top of standard data governance, not next to it. ISO 42001 is explicitly designed to integrate with ISO 27001 if you already certify there.

How do I find shadow AI in my tenant?

Three discovery surfaces: Microsoft Defender for Cloud Apps for SaaS AI tools, Power Platform CoE Toolkit for AI features inside flows and apps, and Entra Workload Identity inventory for service principals making OpenAI or Anthropic API calls. Most enterprises that run a discovery sweep find 30-200 shadow AI systems they did not know existed.

What does the EU AI Act require by August 2026?

Full enforcement of high-risk system rules: risk management across the AI lifecycle, data governance for training data quality and bias, technical documentation (the AIBoM), logging for traceability, human oversight measures, and conformity assessment before placing on the market. ISO 42001 is the de facto operational evidence framework.

Can Microsoft Purview alone replace a third-party AI governance platform?

For Microsoft-stack workloads, mostly yes. Purview Data Map plus DSPM for AI plus Audit covers about 80% of typical AI governance requirements on Microsoft tenants. The 20% gap (deep model evaluation, multi-cloud AI inventory, specialized red-teaming) usually warrants a third-party tool, but you do not need it on day one.

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