Intune Copilot Agents: What Each One Actually Does and Where They Fall Short
Microsoft has been embedding AI into the Intune admin center for over a year now, but the latest push goes beyond chat-based assistance. Four dedicated Security Copilot agents now live inside Intune, each designed to handle a specific endpoint management workflow. The pitch is simple: let AI handle the repetitive analysis so admins can focus on decisions.
The reality, as usual, is more nuanced. Some of these agents deliver immediate value. Others have gaps that you need to understand before you build processes around them. One is already being retired. Here’s a practical breakdown of what each agent does, how to set it up, and where it falls short.
What Are Intune Copilot Agents?
Copilot agents in Intune are AI-powered assistants that operate within the Intune admin center. Unlike the general Copilot Chat (which responds to natural-language queries about your environment), agents are purpose-built for specific tasks. They pull data from across your Microsoft security stack, including Defender, Entra ID, and Intune itself, then surface recommendations that admins can act on.
All four agents require Security Copilot access, which means you need either standalone Security Copilot capacity or Microsoft 365 E5 licensing. With Microsoft’s phased E5 inclusion rollout running from April 20 through June 30, 2026, most E5 tenants will gain access over the next few months. Microsoft sends 30 days’ advance notice before activation, so check your Message Center if you haven’t seen it yet.
Every agent invocation consumes Security Compute Units (SCUs). There’s no free tier for agent runs. If your organization is on overage-only pricing (no pre-provisioned SCU capacity), costs can escalate quickly. Treat SCU monitoring like you’d treat any metered cloud resource.
Policy Configuration Agent
This is the agent with the most obvious day-to-day utility. The Policy Configuration Agent takes natural-language descriptions or compliance documents (NIST, CIS benchmarks, DISA STIGs) and converts them into Intune Settings Catalog policies.
How It Works
You start by creating a “Knowledge Source” in the Intune admin center. Upload a compliance document or type out your requirements in plain English. The agent analyzes the input, maps requirements to available Intune settings, and presents suggested configurations with confidence scores. From there, you review the suggestions and create the policy through the standard Settings Catalog flow.
Where It Shines
If you’re standing up a new tenant or aligning an existing one to a compliance framework, this agent can save hours of manual setting-by-setting configuration. It’s particularly effective when you feed it clear, direct requirements. Something like “Require BitLocker encryption on all Windows 11 devices with a minimum PIN length of 6” gets mapped accurately.
Where It Falls Short
The agent performs better with plain English than with structured policy documents. In testing, uploading a formal JSON policy or a dense compliance PDF sometimes produces a strange result: the agent reports a “100% match” but shows zero identified settings in the interface. There’s a disconnect between the classification layer and the rendering layer that Microsoft hasn’t fully resolved.
For best results, break complex compliance documents into focused, human-readable requirements rather than uploading an entire 200-page STIG document and hoping for the best.
Change Review Agent
The Change Review Agent evaluates Multi-Admin Approval (MAA) requests, specifically for PowerShell scripts, and provides risk-based recommendations before you approve or reject them.
How It Works
You manually invoke the agent from the Intune admin center. It evaluates up to 10 pending approval requests per run, pulling risk signals from Defender, Entra ID, and Intune. The output is a risk assessment with a recommendation: approve, reject, or “needs more info.”
Humans retain final decision authority. The agent advises; it doesn’t auto-approve anything.
Where It Shines
For organizations with heavy MAA workflows, the agent adds a useful triage layer. Instead of reviewing every script in isolation, you get contextual risk signals aggregated from across your security stack. This is helpful when you’re processing a backlog of approval requests and need to prioritize which ones deserve deeper manual review.
Where It Falls Short
Here’s the critical limitation: the Change Review Agent does not perform deep semantic analysis of the PowerShell code itself. It relies on metadata and contextual signals from connected security products. In one documented test, a script that attempted to delete Windows system files received a “Needs More Info” recommendation instead of a high-risk classification. The agent saw the metadata but didn’t understand what the code actually did.
This means you cannot treat the agent as a code review tool. It’s a risk-signal aggregator, not a static analysis engine. If your MAA workflow involves scripts that could be destructive, you still need a human (or a dedicated code scanning tool) reviewing the actual PowerShell logic.
Vulnerability Remediation Agent
The Vulnerability Remediation Agent connects Intune with Microsoft Defender for Endpoint data to monitor device vulnerabilities, assess risk, and recommend remediation steps.
How It Works
The agent scans your Defender vulnerability data, prioritizes findings by risk severity, and suggests Intune policy changes or configurations that would address the identified issues. It bridges the gap between “we found a vulnerability” and “here’s how to fix it in your MDM.”
Where It Shines
The value proposition is strongest for organizations that run both Intune and Defender for Endpoint but struggle to translate Defender findings into Intune actions. The agent automates that translation layer, which is normally a manual, time-consuming process that requires knowledge of both products.
Where It Falls Short
This agent is currently in limited public preview. You can’t just enable it; you need to contact Microsoft sales to request access. That alone limits its practical impact for most organizations right now.
Even when you get access, expect the same early-preview roughness that characterizes the other agents. Risk assessments may not always match your organization’s threat model, and the suggested remediation paths might be generic rather than tailored to your specific environment.
Device Offboarding Agent: Already on Its Way Out
The Device Offboarding Agent identifies stale, unused, or misaligned devices across Intune and Entra ID and provides insights before you remove them. The concept is sound: reduce your attack surface by cleaning up devices that shouldn’t be in your environment anymore.
Why You Shouldn’t Invest in It
Microsoft has already announced the retirement timeline. Setup will be disabled on April 30, 2026, and the agent will be fully removed from the Intune admin center on June 1, 2026. That gives you roughly six weeks from today.
If you’ve been using it, start transitioning to the standard device lifecycle and remediation tools in Intune. If you haven’t started using it, don’t bother. Build your device hygiene workflows around the existing Intune capabilities instead: device compliance policies with grace periods, conditional access rules that block non-compliant devices, and scheduled reports that flag devices with stale check-in dates.
Setting Up Agents: The Prerequisites Checklist
Before any of these agents work, you need the following in place.
First, Security Copilot must be configured in your tenant. Go to the Security Copilot portal, complete the first-run setup, and verify that the Microsoft Intune plugin is enabled under Sources. While you’re there, enable the Windows 365 plugin if you manage Cloud PCs.
Second, verify RBAC. The Intune Administrator role in Entra ID has Copilot access by default. Other roles need explicit assignment through Security Copilot’s role management. There’s no built-in Intune RBAC role that maps to Copilot access, so you’ll need to manage this through Entra or the Security Copilot portal.
Third, check your tenant admin center. Go to Tenant Administration, then Copilot, and confirm the status shows enabled. If it doesn’t, your Security Copilot configuration isn’t complete or hasn’t propagated yet.
Fourth, establish SCU governance. Decide who can invoke agents, how often, and set up monitoring before costs surprise you. Security Copilot’s usage dashboard shows consumption per capability. Review it weekly during your pilot phase.
Practical Recommendations for IT Teams
If you’re on M365 E5 and Security Copilot is about to activate (or already has), here’s a prioritized approach.
Start with Copilot’s Data Explorer, not the agents. Explorer lets you query your Intune data using natural language and consumes minimal SCUs. It has an immediate payoff for ad-hoc reporting and device troubleshooting. Get comfortable with it before moving to agents.
Next, pilot the Policy Configuration Agent if you have upcoming compliance work. A new tenant buildout, a framework alignment project, or a Settings Catalog migration are all good use cases. Feed it clear requirements and validate every suggested setting before deploying.
Evaluate the Change Review Agent only if you’re actively using Multi-Admin Approval for scripts. If MAA isn’t part of your workflow, this agent has nothing to evaluate.
Skip the Device Offboarding Agent entirely. It’s being retired. Use your time to build equivalent workflows with existing Intune tools.
Watch for the Vulnerability Remediation Agent to move out of limited preview. When it does, it could become the most valuable of the four by bridging the Defender-to-Intune gap that many organizations struggle with.
The Bigger Picture
These agents represent Microsoft’s broader bet on agentic AI across the security stack. Defender, Entra, and Purview are all getting their own agents too. The pattern is consistent: purpose-built AI assistants that aggregate signals, provide recommendations, and keep humans in the loop for final decisions.
The execution is still rough in places. Script analysis gaps, UI rendering bugs, and an agent getting retired within months of launching all point to a platform that’s moving fast but not fully polished. That’s fine for piloting. It’s not fine for building production workflows that depend on agent accuracy without human verification.
Use these agents as a force multiplier for your existing knowledge, not as a replacement for it. An Intune admin who understands compliance frameworks will get real value from the Policy Configuration Agent. An admin who doesn’t will just get AI-generated settings they can’t validate. The tool amplifies whatever expertise you bring to it.