Microsoft Security Copilot: Complete Guide for Security Teams in 2026

What Is Microsoft Security Copilot?

Microsoft Security Copilot is an AI-powered security assistant built on GPT-4 and integrated with Microsoft's entire security stack: Defender XDR, Sentinel, Entra ID, Intune, and Purview. It is embedded directly into the tools analysts already use, enabling lower adoption friction and faster time-to-value.

How Security Copilot Works

Security Copilot sits on top of Microsoft's Security Graph which aggregates:

• Threat intelligence from Microsoft's global sensor network (8+ trillion signals per day)
• Your organization's security telemetry (logs, alerts, configurations)
• Public vulnerability databases (CVE, NVD, CISA KEV)

When you ask Copilot a question, it pulls context from this graph, grounds its response in your specific environment, and returns actionable, organization-specific answers.

Licensing and Pricing

Security Copilot uses consumption-based billing with Security Compute Units (SCUs):

An average investigation session consumes 1-3 SCUs. Most organizations report 40-60% reduction in mean time to investigate (MTTI).

Top Use Cases

1. Incident Investigation and Summarization

The highest-ROI use case. Copilot compresses 20-45 minute manual investigations to 2-5 minutes.

Ask it: *"Summarize this incident, identify the root cause, and tell me what the attacker did."*

Copilot reads the incident timeline, correlates related alerts, identifies the MITRE ATT&CK technique, and generates a plain-English summary including affected entities.

2. Threat Intelligence Enrichment

When you see a suspicious IP, hash, or domain, Copilot aggregates intelligence across Microsoft Threat Intelligence, VirusTotal, and your organization's historical data in seconds.

3. KQL Query Generation

*"Write a KQL query to find all failed MFA attempts followed by a successful sign-in from the same IP within 10 minutes."*

This dramatically increases hunting coverage without requiring every analyst to be a KQL expert. For the underlying queries Copilot draws on and how to validate them yourself, see the [Microsoft Sentinel KQL threat hunting guide](/blog/threat-hunting-microsoft-sentinel-kql-guide-2026).

4. Vulnerability Prioritization

Copilot cross-references CISA's Known Exploited Vulnerabilities catalog with your asset inventory to give you a prioritized remediation list specific to your environment.

5. Security Policy Review

*"Review our Conditional Access policies and identify any gaps that could allow an attacker to bypass MFA."*

Deployment Setup

Prerequisites:

1. Microsoft Entra ID tenant (any license tier)
2. At least one of: Microsoft Defender XDR, Sentinel, or Defender for Cloud license
3. Security Administrator or Global Administrator role

Promptbooks: Create saved prompt templates for recurring workflows. Your L1 analysts can run consistent investigations without relying on each person knowing the right prompts.

Plugin management: Enable plugins for each Microsoft security product you use. More plugins = more context = better answers.

If you're still running incidents through the classic Microsoft 365 Defender portal, migrate to the unified Defender XDR portal first: see [Microsoft Sentinel vs Defender XDR](/blog/microsoft-sentinel-vs-defender-xdr-2026) for how the two consoles relate, since Copilot's plugins assume the unified portal's data model.

Integration with the Microsoft Security Stack

ROI and Measurement

Honest Limitations

• It still makes mistakes: Always verify CVE details and specific technical claims before acting.
• Data quality matters: If your Sentinel data sources are incomplete, Copilot gives incomplete answers.
• Prompt skill matters: Teams that invest in prompt engineering get dramatically better results.

Getting Started: First 30 Days

Week 1: Provision and enable plugins. Run first 10 investigations through Copilot alongside normal workflow.

Week 2: Build promptbooks for your 3-5 most time-consuming recurring tasks.

Week 3: Roll out to L1 analysts. Start with incident summary and enrichment use cases.

Week 4: Measure MTTI, survey analyst satisfaction, adjust promptbooks based on where Copilot helps most.

Security Copilot is not a replacement for skilled analysts: it is a force multiplier.

References

• [Microsoft Security Copilot documentation](https://learn.microsoft.com/en-us/copilot/security/microsoft-security-copilot): Official product documentation and plugin catalog
• [Security Copilot pricing](https://www.microsoft.com/en-us/security/business/ai-machine-learning/microsoft-security-copilot): SCU pricing model details
• [Security Copilot plugin management](https://learn.microsoft.com/en-us/copilot/security/manage-plugins): Integration with Defender XDR and Sentinel
• [Microsoft Digital Defense Report 2024](https://www.microsoft.com/en-us/security/security-insider/microsoft-digital-defense-report-2024): Threat landscape data and attack volume statistics

Frequently Asked Questions

What is a Security Compute Unit (SCU) and how does Microsoft Security Copilot pricing work?

Microsoft Security Copilot is priced in Security Compute Units (SCUs), which represent the compute capacity consumed by Copilot queries. Organizations provision a set number of SCUs per hour, and all usage across the tenant draws from that pool. As of 2026, one SCU costs approximately $4 per hour, so a common starting provisioning of 3 SCUs costs roughly $2,160 per month. SCU consumption varies by query complexity: a simple incident summary uses less compute than a deep KQL-assisted threat hunt. Organizations can adjust SCU provisioning up or down to match actual usage patterns.

Which Microsoft security products does Security Copilot integrate with?

Security Copilot integrates with Microsoft Defender XDR (for endpoint, email, identity, and cloud app alerts), Microsoft Sentinel (for SIEM log queries and custom analytics rules), Microsoft Entra ID (for identity risk and sign-in analysis), Microsoft Intune (for device compliance and endpoint data), and Microsoft Defender for Cloud (for cloud security posture findings). Each integration appears as a plugin in the Copilot console. The quality and depth of Copilot responses depends directly on which plugins are enabled and how completely the underlying data sources are configured.

Can Microsoft Security Copilot write and explain KQL queries?

Yes. One of Security Copilot's most frequently cited time-saving use cases is KQL (Kusto Query Language) generation and explanation. Security analysts can describe in plain English what they want to find, and Copilot generates a KQL query for Microsoft Sentinel or Defender Advanced Hunting. It can also work in reverse: paste an existing KQL query and ask Copilot to explain what it does, which is useful for understanding queries written by others or validating queries before running them against production data. Teams using this capability report 70 to 85% reduction in time spent on KQL query authoring.

What is a Security Copilot promptbook and how is it used?

A promptbook is a saved sequence of prompts that Copilot runs in order, designed for repeatable investigation workflows. For example, a phishing investigation promptbook might run prompts to: summarize the email alert, check the sender's reputation, analyze any URLs extracted from the email, look for related alerts across the tenant, and generate a recommended response. Promptbooks replace ad-hoc investigation workflows with documented, consistent processes. Security teams build promptbooks for their most time-consuming recurring tasks and share them across the SOC, so junior analysts follow the same investigation methodology as senior ones.

Does Security Copilot store investigation data or share it with Microsoft for training?

Microsoft has committed that Security Copilot does not store prompt or response data outside the customer's tenant for training purposes. Investigation data processed by Copilot stays within the customer's Microsoft 365 and Azure security boundary. Copilot does not use customer security data to improve the underlying AI models. This is important for organizations with compliance requirements around data residency and processing. The specific contractual commitments are in the Microsoft Product Terms and Data Processing Agreement, which should be reviewed by legal and compliance teams before enterprise deployment.