Shadow AI Discovery

Microsoft Azure

Discover the AI models deployed in your Azure environment and import them into your AI inventory.

Shadow AI discovery

Asenion Model Discovery scans your connected Azure environment and surfaces the AI models currently deployed there, so AI doesn't run outside your inventory. Each discovered model shows its endpoint URL, region, framework, version and deployment status.

Import a discovered model and Asenion creates a new AI system record pre-populated with the model name, cloud provider and model ID, endpoint URL and region, and framework and version where available.

Org Admins connect Azure in Settings → Connections and trigger a sync whenever they need a fresh view of every model visible to the connected service account.

About the partnership

Asenion is supported by Microsoft for Startups and the Microsoft Cloud Partner Program.

What you can do

  • Discover models deployed on Azure, including Azure Machine Learning workspaces, and import them as AI systems.
  • Assess, verify and govern AI systems and agents built on Microsoft and Azure AI services.
  • Purchase Asenion through the Azure Marketplace and potentially apply your Microsoft Azure consumption commitment.
  • Sign in with Microsoft Entra ID and send alerts to Microsoft Teams.

Get started

Speak to your Microsoft account manager or find Asenion on Azure Marketplace.

How it fits together

One set of controls across your whole AI stack

Whatever platforms, models and clouds you use, the Asenion AI Control System applies the same controls to every AI system and agent.

01 · ControlGen
Translates regulations, standards and your policies into control objectives and controls.
02 · Assess
Applies the controls across the AI lifecycle and shows which are met and where the gaps are.
03 · Red-Teaming
Tests AI systems and agents against the controls before deployment.
04 · Witness
Applies and evidences the controls at runtime, with tamper-resistant records.
Get started

See this integration on your own AI systems

In 30 minutes we'll map the rules that apply to your AI, show the controls, and walk through how this integration fits your stack.