Intune Policy Configuration Agent: Would You Deploy It?

Would you deploy an AI-written security baseline to every Windows device? The Intune Policy Configuration Agent can turn one document into a Settings Catalog policy—but a confident mapping can still be wrong.

Used well, this public preview accelerates the mapping work. Used carelessly, it can turn unclear policy language into confidently configured drift. Accountability still belongs to the admin who reviews, creates, tests, and assigns the policy.

The Problem

Security baselines describe intent. Intune policies enforce specific settings and values. The difficult work sits between those layers: interpreting each requirement, finding a supported setting, handling exceptions, and documenting gaps.

The agent uses Security Copilot to map uploaded requirements to Intune settings. It can show the original requirement, proposed value, confidence score, and whether Intune supports the control. That is useful evidence, not an automatic approval.

The Nugget

Use five gates for an Intune Policy Configuration Agent pilot:

Gate Required evidence

Source quality A versioned, scoped, well-structured baseline document

Mapping review Every recommended setting and proposed value reviewed

Gap handling Unsupported and low-confidence mappings assigned an owner

Least privilege Separate permissions for setup, recommendations, and policy creation

Safe rollout Export, peer review, test group, monitoring, then staged assignment

The workflow deliberately stops short of enforcement. After review, the agent creates a normal Intune Settings Catalog policy. It is not assigned until an administrator chooses a group.

Why This Matters

The feature is currently a public preview for Windows in the public cloud. Microsoft documents Intune Plan 1, Security Copilot capacity, and the Intune plugin as prerequisites. Roles also change with the action: read access can generate recommendations, while policy creation requires create and update permissions.

Input limits shape the pilot. You can upload one knowledge source at a time, and text files are limited to 25 KB. Large or poorly structured documents can produce weaker mappings. Split broad standards into logical control families instead of forcing hundreds of pages through one run.

Pay special attention to unsupported requirements. They do not mean the requirement is unimportant; they mean Intune alone cannot enforce it. Record the compensating control, another platform owner, or an accepted exception.

For wider AI operating controls, pair this workflow with Governed Automation: Scale AI Workflows Safely.

What Admins Should Do

• Choose one narrow Windows baseline with a known manual implementation.

• Remove ambiguous language and version the source before upload.

• Compare every supported mapping against the existing approved policy.

• Export the results and log low-confidence or unsupported controls.

• Create the policy without assignments and run peer review.

• Assign only to a test group, monitor conflicts and device status, then expand in stages.

Use a custom least-privilege role where possible. The person who explores recommendations does not need permanent authority to create or update production policies.

Verification Path

Run the same small baseline through the manual and agent-assisted processes. Compare identified settings, values, parent-child dependencies, unsupported controls, and exceptions. The pilot succeeds when the agent reduces mapping effort without reducing review quality.

Pro Tip

Turn the unsupported mapping list into a control-gap register. That list is often more valuable than the generated policy because it shows exactly where Intune needs a compensating control or another platform owner.

Sources

• Set up the Policy Configuration Agent

• Use the Policy Configuration Agent