FRCMIC-15Microsoft

Enhance security operations by using Microsoft Security Copilot (SC-5006)

Name: Enhance security operations by using Microsoft Security Copilot (SC-5006)
Price: 650.00 USD
Availability: InStock

Duration · 1 dayVirtual + In-PersonInstructor-Led

$650

Course Description

This course introduces cybersecurity professionals to Microsoft Security Copilot and demonstrates how AI-powered assistance can enhance security operations, improve incident response, accelerate investigations, and support threat hunting activities. Participants will learn how Security Copilot integrates with Microsoft security solutions to help analysts investigate threats, analyze incidents, summarize findings, and automate security workflows.

Through demonstrations, hands-on exercises, and real-world scenarios, students will develop practical skills for using Security Copilot to improve operational efficiency and strengthen organizational security posture.

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Audience Profile

This course is intended for:

Security Analysts
SOC Analysts
Incident Responders
Security Engineers
Security Operations Managers
Threat Hunters
Cybersecurity Professionals
IT Security Personnel

Prerequisites

Before enrolling, you should have:

Basic understanding of cybersecurity concepts
Familiarity with security operations center (SOC) processes
Experience with Microsoft security solutions is beneficial
Knowledge of incident response and threat detection concepts

— What You'll Learn —

Learning Objectives

In this course, you will learn to:

1Understand Microsoft Security Copilot architecture and capabilities
2Use Security Copilot to investigate security incidents
3Accelerate threat hunting and threat intelligence activities
4Analyze alerts and security events more efficiently
5Generate incident reports and executive summaries
6Improve security operations workflows with AI assistance
7Apply responsible AI and security governance practices
8Integrate Security Copilot into existing SOC operations

— Day-by-Day —

Course Outline

Module 1

Introduction to Microsoft Security Copilot

Introduction to Generative AI in Cybersecurity
What is Microsoft Security Copilot?
Security Copilot Architecture
AI-Assisted Security Operations
Security Copilot Use Cases
Microsoft Security Ecosystem Integration
Security Data Sources and Context
Benefits and Limitations
Demonstration: Exploring Microsoft Security Copilot

Module 2

Navigating Security Copilot and Prompting Effectively

Security Copilot User Interface
Prompt Engineering Fundamentals
Security-Focused Prompting Techniques
Contextual Investigation Queries
Refining and Iterating Responses
Managing Investigation Sessions
Saving and Sharing Results
Best Practices for Analysts
Hands-On Lab: Creating Effective Security Investigation Prompts

Module 3

Incident Investigation and Response

Incident Response Lifecycle
Investigating Security Alerts
Analyzing Attack Indicators
Understanding Threat Context
Identifying Impacted Assets
Generating Investigation Summaries
Response Recommendations
Escalation and Documentation
Hands-On Lab: Investigating a Security Incident

Module 4

Threat Hunting and Threat Intelligence

Threat Hunting Fundamentals
Security Copilot for Threat Hunting
Identifying Suspicious Activity
Threat Intelligence Analysis
Correlating Threat Data
Adversary Techniques and Behaviors
Developing Hunting Hypotheses
Documenting Findings
Hands-On Lab: Conducting a Threat Hunting Investigation

Module 5

Security Operations with Microsoft Security Solutions

Security Copilot Integration Overview
Microsoft Defender Integration
Microsoft Sentinel Integration
Identity Security Investigations
Endpoint Security Analysis
Email and Collaboration Security
Cloud Security Investigations
Cross-Platform Correlation
Hands-On Lab: Investigating Security Events Across Platforms

Module 6

Incident Reporting and Executive Communication

Incident Documentation Best Practices
Executive Summary Generation
Technical Investigation Reports
Communicating Risk and Impact
Stakeholder Reporting
Lessons Learned Documentation
Compliance Reporting Support
Audit Readiness Considerations
Hands-On Lab: Creating an Executive Incident Report

Module 7

Responsible AI and Security Governance

Responsible AI Principles
Human Validation Requirements
Security Data Protection
Privacy Considerations
Compliance and Regulatory Requirements
Managing AI Limitations
Operational Governance
Organizational Security Policies
Discussion: Responsible AI in Security Operations

Module 8

Optimizing Security Operations with AI

SOC Workflow Optimization
Reducing Investigation Time
Improving Analyst Productivity
Adoption Planning
Success Metrics and KPIs
Continuous Improvement Strategies
Future AI Trends in Cybersecurity
Building an AI-Enabled SOC
Workshop
Developing a Security Copilot Adoption Plan
Capstone Exercise: End-to-End Security Investigation Scenario
Activity: Analyze security alerts
Activity: Investigate indicators of compromise
Activity: Correlate threat intelligence
Activity: Assess business impact
Activity: Generate incident documentation
Activity: Present findings and recommendations

— The Big Picture —

Key Takeaways

Microsoft Security Copilot fundamentals
AI-assisted incident investigation
Threat hunting and intelligence analysis
Security workflow optimization
Reporting and communication improvements
Responsible AI and governance practices
SOC productivity enhancement

— What You'll Walk Away With —

Skills Gained

Security Copilot operation
Incident investigation and analysis
Threat hunting techniques
Security reporting and communication
Prompt engineering for cybersecurity
Security workflow optimization
Responsible AI implementation in SOC environments

Note: Course outlines are provided as a general guide. Content, pacing, labs, and instructional emphasis may vary based on instructor expertise, student experience levels, and customer-specific learning objectives.

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