Microsoft Defender XDR
General

Defend Against Threats - Microsoft Defender XDR | Microsoft Learn

In brief

Microsoft added public guidance describing five steps to strengthen threat defense: deploy relevant Defender workloads, configure automatic attack disruption, respond to incidents, prevent recurrence, and continuously optimize protection. It includes links to setup and attack-disruption configuration resources.

What Defender admins need to know

Administrators can use the guidance to plan coverage across endpoints, identities, email, collaboration, and cloud apps, and review the licensing, permissions, and prerequisites for automatic attack disruption.

Summaries are generated from the documentation change itself.

Documentation change

The comparison below shows only the changed extract. Use the full-page view for complete context.

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Defend Against Threats - Microsoft Defender XDR | Microsoft Learn

Prepare your security operations for AI by connecting threat detection, investigation, and response in Microsoft Defender.

Security imperative: Get ready for AI

Defending against threats to get ready for AI starts with your existing security operations: bring signals, investigations, and response together, expand visibility across Microsoft and non-Microsoft sources, and automate repeatable work.

Job to be done: Defend against threats

That foundation is what lets human defenders and AI agents investigate and respond together, while helping the organization keep pace with AI-accelerated attacks. Defender ISOC supports this by unifying SIEM and XDR in one operational experience built on shared data, analytics, threat intelligence, and workflows.

Context and problem

AI is shrinking the window from intrusion to impact—and expanding the number of targets attackers can pursue at once.

AI is helps attackers find and connect weaknesses organizations already carry: over-permissioned identities, unpatched software, exposed assets, and inadequately protected data. Addressing vulnerabilities in isolation—such as prioritizing software patches alone—no longer delivers the same impact. Nor can a collection of robust controls stop attackers who move across domains. Getting ready for AI requires a connected system that can uncover, understand, and adapt to threats before attackers turn a chain of exposures into a viable attack path.

Solution

Getting ready for AI requires strengthening how you defend the environment you already have. Unify security signals and workflows, connect the data sources most relevant to your estate, and give defenders one place to investigate incidents, understand activity, automate response, and verify that threats have been contained. This foundation enables AI agents and human defenders to investigate and respond together effectively.

Five sequential steps can get you there: deploy comprehensive protection, set up automatic attack disruption, respond to and contain incidents, prevent recurrence, and continuously optimize protection to reduce exposure. Comprehensive coverage improves detection, automated disruption limits attacker movement, and lessons from each incident help strengthen protection against the next attack.

Guidance

Security practitioners, including SOC analysts, threat hunters, detection engineers, and incident responders, can strengthen threat defense by following this step-by-step guidance, implemented through Microsoft Defender.

Step

  1. Deploy Defender workloads for comprehensive protection

Recommended action

Deploy the Defender workloads relevant to your environment across endpoints, identities, email and collaboration, and cloud apps so Microsoft Defender can correlate threat signals and coordinate prevention, detection, investigation, and response across those domains.

Resource

[Setup guides for Microsoft Defender](deploy-configure-m365-defender)
  1. Set up attack disruption to detect and contain active attacks

Recommended action

Review the licensing, permissions, and product-specific prerequisites for automatic attack disruption, then deploy and configure the required Defender workloads so compromised assets can be automatically contained during high-confidence attacks.

Resource

[Configure automatic attack disruption in Microsoft Defender](configure-attack-disruption)
  1. Respond to incidents and validate the threat containment

Recommended action

Triage and investigate incidents in the Defender portal, contain and eradicate the threat, recover affected resources to a trusted state, and validate that the threat is no longer active before resolving the incident.

Resource

[Plan an incident response workflow in the Microsoft Defender portal](plan-incident-response)
  1. Hunt for related and recurring activity.

Recommended action

Hunt across Defender data for related or recurring activity, then turn what you learn into custom detections that continuously identify and respond to suspected breach activity and other findings.

Resource

[Advanced hunting overview in Microsoft Defender](advanced-hunting-overview)
  1. Optimize protection to reduce exposure

Recommended action

Use SOC optimization recommendations to identify gaps in security coverage and adjust controls and data as threats and business priorities change, helping continuously reduce exposure across the environment.

Resource

[Optimize security operations](/en-us/azure/sentinel/soc-optimization/soc-optimization-access?tabs=defender-portal)

Outcomes

  • Help reduce the risk that exposures become attacks: connected context reveals how vulnerabilities, identities, permissions, assets, and data create attack paths, helping teams close the gaps that pose the greatest risk before attackers exploit them.
  • Help contain attacks and limit their spread: shared signals across identity, devices, data, applications, cloud, and code enable coordinated detection and response instead of isolated action from point tools.
  • Use incident learnings to strengthen future defenses: teams verify that remediation took effect, measure the exposure that remains, and feed lessons from investigations back into protections, priorities, and response workflows.

Key success factors

To measure progress, consider tracking the following metrics:

  • Percentage of identities, devices, applications, workloads, data, and AI systems covered by security policy and protection, with unmanaged or unprotected assets identified
  • Percentage of critical assets and sensitive data mapped to their related vulnerabilities, identities, permissions, and attack paths
  • Percentage of high-priority exposures assigned to an accountable owner and approved remediation or compensating-control action
  • Percentage of high-priority attack paths broken through patching, access reduction, configuration changes, data protection, or other controls
  • Percentage of prioritized remediation actions verified as effective, with remaining exposure measured
  • Mean time to detect, investigate, contain, and evict active threats across the environment
  • Percentage of incidents whose findings result in updated exposure priorities, detections, controls, or automated response workflows

Summary

Defending against threats to get ready for AI changes the question from how many alerts you can process to how quickly you can detect, contain, and learn from attacks. Deploy Defender workloads across your environment, prepare automatic attack disruption to contain active threats, respond to and fully remediate incidents, hunt for related activity to prevent recurrence, and continually optimize protection to reduce exposure. Together, these steps create a continuous defense cycle that gets stronger as threats and the environment change.

By connecting threat response with continuous exposure reduction, you strengthen the environment for AI and make each defense improve the next. \ No newline at end of file