Microsoft Power Platform CoE Starter Kit’s Demise: What It Means for Governance, Security, and Your DIY Low-Code Inventory Strategy + Video

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Introduction:

The Microsoft Power Platform Center of Excellence (CoE) Starter Kit – a community-driven, open-source governance blueprint for low-code environments – is effectively ending updates as of February 2026, with no official deprecation notice or formal support. While Microsoft shifts toward “Virtual CoE” AI agents and Managed Environments, organizations lose a battle-tested framework for inventory, lifecycle management, and compliance, forcing security and IT teams to build their own governance layers using Azure Resource Graph APIs and custom automation.

Learning Objectives:

  • Understand the sunsetting of the CoE Starter Kit and its impact on Power Platform governance.
  • Learn how to replace inventory collection using Azure Resource Graph APIs and scripting (PowerShell, Azure CLI, REST).
  • Implement a basic governance dashboard with security controls, ownership tracking, and compliance alerts.

You Should Know

  1. Understanding Why the CoE Starter Kit Is Ending and What Survives

The CoE Starter Kit was never an official Microsoft product – it was a community-driven accelerator that provided Dataverse-based apps, Power Automate flows, and Power BI reports to manage environments, connectors, DLP policies, and app ownership. As of February 2026, milestones and active development have ceased because key resources were reassigned. Microsoft’s official stance (via GitHub issue 10990) is that the Kit “was never a product,” so no deprecation or formal support exists. However, the underlying inventory collection mechanisms – which relied on flawed Power Automate cloud flows and now-deprecated Dataflows – are what truly died. The Azure Resource Graph API remains fully supported and now offers a much more efficient and scalable way to query Power Platform resources across tenants.

Step‑by‑step guide to query Power Platform inventory using Azure Resource Graph API (PowerShell):

  1. Install the Azure Resource Graph module (Windows/Linux/macOS with PowerShell 7+):
    Install-Module -Name Az.ResourceGraph -Force -AllowClobber
    Connect-AzAccount  Login to your Azure tenant
    

  2. Basic query to list all Power Platform environments:

    $query = "resources | where type =~ 'microsoft.powerplatform/environments' | project name, location, properties.provisioningState"
    Search-AzGraph -Query $query -UseTenantScope
    

  3. Advanced query for apps, connectors, and DLP policies (requires expanded schema):

    $fullQuery = @"
    resources
    | where type in~ ('microsoft.powerplatform/environments', 'microsoft.powerplatform/connectors', 'microsoft.powerplatform/dlppolicies')
    | extend environmentName = tostring(properties.environmentName)
    | project resourceType = type, name, environmentName, provisioningState = properties.provisioningState
    "@
    Search-AzGraph -Query $fullQuery -UseTenantScope | ConvertTo-Json -Depth 3
    

  4. Export to CSV for your DIY governance dashboard:

    Search-AzGraph -Query $query -UseTenantScope | Export-Csv -Path "PowerPlatformInventory.csv" -NoTypeInformation
    

This gives you raw, actionable inventory data – the foundation the CoE Starter Kit once built its governance apps on.

  1. Replacing the Governance Mindset with Custom Automation and Security Controls

The real loss isn’t the code – it’s the governance mindset the Kit institutionalized (ownership tracking, lifecycle management, compliance checks). Without it, organizations default to “we have Power Automate” and skip inventory. You must now build your own low-code governance layer using Dataverse custom tables, Power Automate (with API calls), and conditional access policies.

Step‑by‑step guide to build a basic governance app (security-focused):

  1. Create a custom Dataverse table called “Governance Inventory” with columns: AppName, OwnerEmail, LastAuditDate, DLPCompliant (Yes/No), EnvironmentType (Prod/Dev).
  2. Power Automate flow – Schedule daily trigger → Azure Resource Graph HTTP request (using the Send an HTTP Request to Azure Resource Manager action) to fetch all Power Platform resources. Example REST call:
    Method: POST
    URI: https://management.azure.com/providers/Microsoft.ResourceGraph/resources?api-version=2022-10-01
    Headers: Authorization: Bearer <access_token>
    Body: {"query": "resources | where type contains 'microsoft.powerplatform' | project name, type, location"}
    
  3. Parse JSON response and upsert rows into your Dataverse table using the Perform a bound action (Update) or Dataverse connector.
  4. Add security layer: In the flow, validate the caller’s Entra ID role (e.g., “Power Platform Administrator”) before executing – use `@equals(triggerOutputs()?[‘headers/Guid’], ‘app-id’)` filter.
  5. Create a Model-driven App that reads the Governance Inventory table, shows apps with missing owners, and requires monthly recertification using Power Automate approval flows.

This DIY approach gives you full control over audit trails and compliance, unlike the black-box “Virtual CoE” AI agent Microsoft is pushing.

  1. Leveraging Azure Resource Graph API for Security Hardening and Vulnerability Mitigation

The Azure Resource Graph API isn’t just for inventory – it’s a powerful security tool. You can use it to detect risky Power Platform configurations: unmanaged connectors, privileged service accounts, deprecated runtime versions, and environments without data loss prevention (DLP) policies.

Linux / macOS (curl + Azure CLI) commands for security auditing:

  1. Authenticate with Azure CLI (install from https://aka.ms/installazureclidarwin):
    az login
    export ACCESS_TOKEN=$(az account get-access-token --query accessToken -o tsv)
    

  2. Query all environments that allow unmanaged connectors (high risk for data exfiltration):

    curl -X POST "https://management.azure.com/providers/Microsoft.ResourceGraph/resources?api-version=2022-10-01" \
    -H "Authorization: Bearer $ACCESS_TOKEN" \
    -H "Content-Type: application/json" \
    -d '{
    "query": "resources | where type =~ \"microsoft.powerplatform/environments\" | where properties.properties.allowUnmanagedConnectors == true | project name, subscriptionId, resourceGroup"
    }'
    

  3. Detect environments without any DLP policy attached (compliance gap):

    curl -X POST "https://management.azure.com/providers/Microsoft.ResourceGraph/resources?api-version=2022-10-01" \
    -H "Authorization: Bearer $ACCESS_TOKEN" \
    -d '{"query": "resources | where type =~ \"microsoft.powerplatform/dlppolicies\" | summarize dlps=count() by environmentId = tostring(properties.environmentId) | where dlps == 0"}' | jq '.'
    

Mitigation script (PowerShell) – automatically enforce a default DLP policy on all new environments:

$environments = Search-AzGraph -Query "resources | where type =~ 'microsoft.powerplatform/environments'" -UseTenantScope
foreach ($env in $environments) {
$envId = $env.id
 Check if DLP exists (API call omitted for brevity)
 If not, deploy default policy via ARM template:
New-AzResourceGroupDeployment -ResourceGroupName "PowerPlatformGovernance" -TemplateFile "DefaultDLP.json" -environmentId $envId
}

This transforms the API from a simple inventory tool into a continuous security monitoring and remediation engine.

  1. Building a Real-Time Inventory Dashboard with Power BI (Post-CoE)

The CoE Starter Kit included a Power BI report that became broken due to Dataflow deprecation. You can rebuild it using Power Query + Azure Resource Graph API as a data source – no more unreliable scheduled refreshes.

Step‑by‑step guide to connect Power BI directly to Azure Resource Graph:

  1. In Power BI Desktop, go to Get Data → Blank Query.
  2. Open Advanced Editor and paste the following M code (uses Power Query to call Azure Resource Graph REST API – note: requires managing token expiration, better to use Azure Data Lake intermediate store for production):
    let
    token = "<generate via PowerShell or use Azure Data Lake>",
    url = "https://management.azure.com/providers/Microsoft.ResourceGraph/resources?api-version=2022-10-01",
    query = "{ ""query"": ""resources | where type contains 'microsoft.powerplatform' | project name, type, tags, location"" }",
    body = Text.ToBinary(query),
    response = Web.Contents(url, [
    Headers = [ Authorization = "Bearer " & token, "Content-Type" = "application/json" ],
    Content = body
    ]),
    json = Json.Document(response)
    in
    json
    
  3. Security note: Storing static tokens in Power BI is dangerous. Instead, use Azure Data Lake Storage as an intermediate sink: schedule a secure Azure Automation runbook that queries the API and writes Parquet files to ADLS, then connect Power BI to ADLS with Entra ID passthrough.
  4. Build visuals: App ownership heatmaps, environment lifecycle graphs, connector usage pie charts, and DLP compliance gauges – exactly what the CoE report provided.

This approach gives you a reliable, audit-friendly dashboard without Microsoft killing your dataflow overnight.

  1. Future-Proofing Governance for AI Agents and Vibe-Coded Solutions

The post mentions “AI agents and vibe-coded solutions” – a nod to the new reality where non‑IT users generate Power Automate flows and Copilot Studio agents via natural language. This creates an explosion of ungoverned resources. The CoE Starter Kit didn’t cover AI agents; your DIY solution must.

Step‑by‑step guide for AI‑agent governance using Azure Policy and Resource Graph:

  1. Identify AI agents – Query for Copilot Studio agents (type microsoft.copilotstudio/agents) via Azure Resource Graph:
    resources | where type =~ "microsoft.copilotstudio/agents" | project name, properties.published, properties.authenticationType
    

  2. Enforce restrictive DLP for agents – Create an Azure Policy that denies creation of Copilot agents unless they use managed identity and are tagged with GovernedBy=SecurityTeam. Policy rule snippet (JSON):

    "policyRule": {
    "if": {
    "allOf": [
    { "field": "type", "equals": "microsoft.copilotstudio/agents" },
    { "field": "tags['GovernedBy']", "notEquals": "SecurityTeam" }
    ]
    },
    "then": { "effect": "deny" }
    }
    

  3. Automate monthly recertification using Logic Apps – Query all AI agents and send approval requests to owners defined in a SharePoint list. If no response in 7 days, deactivate the agent via Microsoft Graph API:

    POST https://graph.microsoft.com/v1.0/me/agents/{agent-id}/disable
    Authorization: Bearer <token>
    

This is the level of control the CoE Starter Kit never had – and exactly what you’ll need as AI-generated low-code takes over.

  1. Windows and Linux Commands for Real-Time Resource Graph Monitoring

For security operations centers (SOCs) and IT administrators, embedding Azure Resource Graph queries into daily scripts is critical. Below are ready-to-use commands for both Windows and Linux environments.

Windows (PowerShell + Az module) – Save as Get-PowerPlatformInventory.ps1:

 Install required module
Install-Module Az.ResourceGraph -Scope CurrentUser -Force

Connect interactively or use service principal
Connect-AzAccount -Identity  for managed identity in automation

$query = @"
resources
| where type in~ ('microsoft.powerplatform/environments','microsoft.powerplatform/connectors')
| extend environmentStatus = tostring(properties.properties.provisioningState)
| project name, resourceGroup, environmentStatus, subscriptionId
| order by name asc
"@

$results = Search-AzGraph -Query $query -UseTenantScope
$results | Export-Csv -Path "C:\Monitoring\Inventory_$(Get-Date -Format yyyyMMdd).csv" -NoTypeInformation
Write-Host "Inventory exported with $($results.Count) resources"

Linux (bash + Azure CLI + jq) – Add to crontab for daily inventory snapshots:

!/bin/bash
az login --identity || az login  use managed identity in VM/container
TOKEN=$(az account get-access-token --resource https://management.azure.com -o tsv --query accessToken)

curl -X POST "https://management.azure.com/providers/Microsoft.ResourceGraph/resources?api-version=2022-10-01" \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{"query": "resources | where type contains \"powerplatform\" | project id, name, location, type"}' \
-o /var/log/powerplatform_inventory_$(date +%F).json

Alert if any environment is in failed state
jq '.data[].properties.provisioningState' /var/log/powerplatform_inventory_.json | grep -q "Failed" && \
echo -e "Subject: Power Platform Environment Failed\n\nCheck inventory" | msmtp [email protected]

Schedule with crontab -e: `0 2 /usr/local/bin/powerplatform_inventory.sh`

What Undercode Say

  • The CoE Starter Kit is dead – but governance isn’t. Microsoft’s shift to “Virtual CoE” AI agents and Managed Environments provides convenience, not control. Security teams must adopt Azure Resource Graph API as the new inventory backbone.
  • DIY governance is now a security necessity. Without the Kit’s prebuilt ownership tracking and compliance workflows, organizations risk shadow IT and unmanaged connectors. Building custom Dataverse tables and Power Automate flows isn’t optional – it’s the only way to maintain visibility.
  • API security and token management become critical. Using Azure Resource Graph directly means handling bearer tokens, role assignments, and audit logs. Implement Entra ID managed identities and Azure Key Vault for any automation scripts.
  • Predictive governance for AI agents starts now. Copilot Studio agents and “vibe-coded” solutions will flood tenants. Azure Policy with deny effects and automated recertification must be deployed before the February 2026 sunset.
  • Linux and Windows hybrid teams can unify on Azure CLI/PowerShell. The commands above work across both platforms, enabling SOCs to integrate Power Platform inventory into SIEMs like Sentinel using Resource Graph’s native logging.

Prediction

By Q3 2026, we will see a surge in third-party governance SaaS products for Power Platform, capitalizing on the CoE vacuum. Simultaneously, Microsoft will quietly reintroduce inventory features inside Purview Compliance Portal or Microsoft 365 Lighthouse, but only for E5 customers. The long-term impact: organizations that migrate to Azure Resource Graph + custom dashboards will have more robust, transparent governance than those who relied on the now‑dead Kit. However, small and mid‑size businesses without dedicated automation engineers will suffer – leading to increased data leakage incidents from ungoverned Power Automate flows and Copilot agents. The end of the CoE Starter Kit marks the beginning of the governance divide between automation-rich enterprises and everyone else.

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