Introduction
Endpoint administrators face increasing complexity as device counts grow, security threats evolve, and teams manage distributed workforces. AI-powered tools in Microsoft Intune and Microsoft Defender help you cut through noise, prioritize critical issues, and take action faster. Instead of manually reviewing every device alert or compliance failure, you use AI to surface patterns, recommend fixes, and guide investigation workflows.
This module shows you how to use AI and intelligence-driven insights to optimize endpoint security and performance. You explore Microsoft Security Copilot for threat investigation, Copilot in Intune for device troubleshooting, and Microsoft Defender insights for risk prioritization. These tools help you move from reactive troubleshooting to proactive endpoint management.
What will you learn?
- Identify how AI transforms endpoint telemetry into prioritized recommendations and remediation actions
- Investigate security incidents faster using Microsoft Security Copilot summaries, guided responses, and script analysis
- Troubleshoot device issues using Copilot in Intune to compare devices, analyze errors, and explore policies
- Analyze device performance and health trends with Endpoint Analytics to detect systemic issues
- Prioritize endpoint decisions using Microsoft Defender incident data, threat analytics, and Secure Score recommendations
- Connect security insights from Defender to practical remediation actions in Intune
Example scenario
You manage 2,000 Windows devices. Several devices show compliance failures, a suspicious script triggered alerts on multiple endpoints, and users report performance issues. Instead of investigating each device manually, you use AI tools to identify patterns, prioritize high-risk devices, and apply targeted fixes across affected groups.