Microsoft Security Copilot

Microsoft Security Copilot is one of the most significant AI deployments in enterprise security — an LLM-powered assistant built on GPT-4 and trained on Microsoft's threat intelligence, which covers 65 trillion signals per day from Microsoft's global footprint.

What Security Copilot Does

Security Copilot acts as an AI analyst in natural language: investigate incidents, summarize alerts, explain what a script does, and recommend response steps. Unlike generic LLMs, it's grounded in Microsoft's real-time threat intelligence and integrated with your actual security tools.

Integration with Microsoft Security Stack

Security Copilot integrates natively with:

• Microsoft Sentinel (SIEM/SOAR) — investigate incidents, run KQL queries in natural language
• Microsoft Defender (endpoint/identity/cloud) — triage alerts, understand attack chains
• Microsoft Entra (identity) — investigate suspicious sign-ins and permissions issues
• Intune, Purview, Defender for Cloud — unified security posture questions

This native integration means Security Copilot has actual context about your environment — not just generic threat knowledge.

Threat Intelligence Grounding

Security Copilot is grounded in Microsoft Threat Intelligence, which tracks 300+ threat actors, monitors 50+ ransomware groups, and processes 65 trillion security signals daily. When investigating an incident, it can identify which known threat actor a technique matches and what their known objectives are.

Skill-Based AI

Beyond natural language, Security Copilot includes Promptbooks — pre-built investigation workflows that run in sequence. Common use cases: vulnerability impact assessment, reverse engineering malicious scripts, phishing email analysis, and incident post-mortems.

Pricing

Security Copilot uses a compute-unit pricing model (Security Compute Units, SCUs). Provisioned through Azure at approximately $4/SCU/hour. Enterprise deployments typically provision 1-5 SCUs for analyst teams.