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Introduction:
As the modern workplace evolves, the convergence of endpoint management and generative AI is reshaping enterprise security. With the upcoming Workplace Ninja Summit 2026 spotlighting experts like Ugur Koc, the focus is firmly on leveraging Microsoft Intune, Security Copilot, and automation to combat sophisticated threats. IT professionals must now move beyond simple device management to implement intelligent, automated security postures that integrate Entra ID (formerly Azure AD) and real-time threat analysis.
Learning Objectives:
- Understand how to configure and deploy Microsoft Security Copilot for automated incident response in endpoint management.
- Implement advanced automation scripts and remediation tools within Microsoft Intune.
- Utilize Graph API and PowerShell to harden cloud-managed endpoints against modern vulnerabilities.
You Should Know:
1. Deploying Security Copilot for Automated Threat Triage
Security Copilot acts as your AI co-pilot, correlating data from Microsoft 365 Defender and Intune. To begin, you must ensure your tenant has the appropriate Security Copilot licenses and that the integrations are enabled. Navigate to the Microsoft 365 Defender portal, access Settings > Microsoft Copilot, and enable the plugins for Intune and Entra ID. This allows the AI to access device compliance data and user identities.
Step‑by‑step guide:
- Step 1: Verify licensing (Security Copilot requires specific E5 or add-on licenses).
- Step 2: In the Defender portal, go to Settings > Microsoft Copilot > Plugins.
- Step 3: Toggle on “Microsoft Intune” and “Microsoft Entra ID” to allow data ingestion.
- Step 4: Use a prompt like “Show me all devices that are non-compliant and have had a critical alert in the last 24 hours” to test the integration.
2. Automating Remediation with Intune Proactive Remediations
Proactive Remediations in Intune are custom scripts that detect and fix common configuration drift or security issues automatically. For example, you can create a detection script to identify if Windows Defender is disabled and a remediation script to re-enable it, ensuring endpoint security baselines are maintained without manual intervention.
Step‑by‑step guide:
- Step 1: Sign in to the Microsoft Intune admin center.
- Step 2: Navigate to Reports > Endpoint analytics > Proactive remediations.
- Step 3: Click “Create” and provide a name, e.g., “Enforce Defender Real-Time Protection.”
- Step 4: Upload a Detection Script (PowerShell) to check the status of Defender.
Detection Script Example $mp = Get-MpPreference if ($mp.DisableRealtimeMonitoring -eq $true) { Write-Host "Real-time monitoring is disabled" exit 1 } else { exit 0 } - Step 5: Upload a Remediation Script to enable it if the detection script fails.
Remediation Script Example Set-MpPreference -DisableRealtimeMonitoring $false
- Step 6: Assign the script to your target device groups and set the schedule.
- Hardening Cloud-Native Authentication with Entra ID Conditional Access
Security begins with identity. In a modern workplace, Conditional Access policies are your primary defense. With the shift to Entra ID, you must integrate “session control” to enforce secure access based on real-time risk. You can combine this with Security Copilot insights to dynamically challenge users showing anomalous behavior.
Step‑by‑step guide:
- Step 1: Access the Entra Admin Center and navigate to Protection > Conditional Access.
- Step 2: Create a new policy named “Require Compliant Device for High-Risk Users.”
- Step 3: Under Assignments > Users, select specific groups or “All Users.”
- Step 4: Under Cloud apps or actions, select the apps you want to protect (e.g., Office 365).
- Step 5: Under Conditions > Sign-in risk, configure the risk level to “High.”
- Step 6: Under Grant, select “Require device to be marked as compliant” and “Require multifactor authentication.”
- Step 7: Enable the policy and monitor the sign-in logs for enforcement.
4. Automating Endpoint Configurations via Microsoft Graph API
For large-scale automation, the Graph API is indispensable. You can programmatically update device configurations, run scripts, or fetch compliance data to feed into a Security Information and Event Management (SIEM) system. This is crucial for responding to widespread vulnerabilities like the recent Windows driver zero-days.
Step‑by‑step guide (using PowerShell):
- Step 1: Install the Microsoft Graph PowerShell SDK.
Install-Module Microsoft.Graph -Scope CurrentUser
- Step 2: Connect to your tenant with the necessary scopes.
Connect-MgGraph -Scopes "DeviceManagementManagedDevices.Read.All", "DeviceManagementConfiguration.Read.All"
- Step 3: Retrieve a list of all managed devices to audit for a specific security patch.
Get-MgDeviceManagementManagedDevice -All | Select-Object DeviceName, OperatingSystem, ComplianceState
- Step 4: To run a bulk action, such as a wipe for non-responsive devices, use the `Invoke-MgDeviceManagementManagedDeviceWipe` command (use with extreme caution).
- Leveraging KQL in Security Copilot for Custom Threat Hunts
Security Copilot allows natural language to Kusto Query Language (KQL) translation. Instead of memorizing complex KQL syntax for Advanced Hunting, you can ask Copilot to generate queries to find specific IOCs (Indicators of Compromise) across your endpoints.
Step‑by‑step guide:
- Step 1: Open the Advanced Hunting section in Microsoft 365 Defender.
- Step 2: Activate the Copilot side panel.
- Step 3: Input a natural language request: “Find all devices where a process named ‘malware.exe’ was created in the last 7 days.”
- Step 4: Copilot will generate a KQL query like:
DeviceProcessEvents | where Timestamp > ago(7d) | where FileName =~ "malware.exe" | project Timestamp, DeviceName, AccountName, InitiatingProcessFileName
- Step 5: Execute the query and create a detection rule based on the results to automate future blocks.
6. Integrating Windows and Linux Hardening via Intune
Modern workplace management isn’t just Windows anymore. Intune now supports managing Linux endpoints for developers. You can push compliance policies to Linux devices requiring specific security configurations, such as disk encryption and firewall rules, ensuring a cross-platform security posture.
Step‑by‑step guide (Linux Compliance):
- Step 1: In Intune, go to Devices > Linux > Configuration profiles.
- Step 2: Create a profile for “Custom” and upload a JSON configuration file.
- Step 3: Specify settings like requiring FDE (Full Disk Encryption) and checking for specific package versions.
- Step 4: Use the Microsoft Edge browser on Linux to enroll devices, which then receive these policies.
- Step 5: Verify compliance by checking the device status in Intune.
What Undercode Say:
- Key Takeaway 1: AI is now a first responder. Security Copilot is not just a chatbot; it is an orchestration layer that translates complex security data into actionable remediation workflows within Intune and Defender.
- Key Takeaway 2: Automation is the only scalable defense. With the volume of alerts and the speed of modern attacks, using Proactive Remediations and Graph API scripts is no longer optional but a core requirement for maintaining a secure, modern workplace.
The era of manually checking logs and individually configuring firewalls is over. By integrating Security Copilot with Intune and Entra ID, IT professionals can create a self-healing ecosystem that detects, analyzes, and neutralizes threats in near real-time. The focus must now shift from simply managing devices to intelligently securing the entire digital estate through automation and AI-driven insights.
Prediction:
By 2027, the role of the “Workplace Ninja” will split into two distinct paths: the AI-Augmented Engineer who uses copilots to manage fleets, and the Automation Architect who builds the logic and scripts that the AI executes. Security Copilot will evolve to not only suggest remediation but to automatically implement Intune configuration changes via delegated permissions, provided the risk score is within acceptable thresholds. This will force a fundamental change in change management processes, requiring “approval workflows” to be built directly into AI logic.
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