Microsoft Security Operations Analyst (SC-200)
1 Introduction to Security Operations
1-1 Understanding Security Operations
1-2 Role of a Security Operations Analyst
1-3 Key Responsibilities and Tasks
2 Security Information and Event Management (SIEM)
2-1 Overview of SIEM Solutions
2-2 Microsoft Sentinel Overview
2-3 Data Ingestion and Normalization
2-4 Log Sources and Data Connectors
2-5 Querying and Analyzing Data
2-6 Creating and Managing Alerts
2-7 Incident Management and Response
3 Threat Intelligence
3-1 Introduction to Threat Intelligence
3-2 Types of Threat Intelligence
3-3 Threat Intelligence Sources
3-4 Integrating Threat Intelligence with SIEM
3-5 Analyzing and Applying Threat Intelligence
4 Detection and Response
4-1 Common Attack Vectors and Techniques
4-2 Identifying and Prioritizing Alerts
4-3 Incident Response Process
4-4 Containment, Eradication, and Recovery
4-5 Post-Incident Activities and Lessons Learned
5 Automation and Orchestration
5-1 Introduction to Automation and Orchestration
5-2 Use Cases for Automation in Security Operations
5-3 Microsoft Sentinel Automation Capabilities
5-4 Creating and Managing Playbooks
5-5 Integrating Automation with Incident Response
6 Cloud Security
6-1 Overview of Cloud Security
6-2 Cloud Security Posture Management (CSPM)
6-3 Identity and Access Management in the Cloud
6-4 Monitoring and Securing Cloud Resources
6-5 Incident Response in a Cloud Environment
7 Advanced Threat Hunting
7-1 Introduction to Threat Hunting
7-2 Threat Hunting Techniques and Tools
7-3 Building and Using Hunting Queries
7-4 Identifying and Investigating Anomalies
7-5 Leveraging Threat Intelligence in Hunting
8 Compliance and Reporting
8-1 Understanding Compliance Requirements
8-2 Regulatory Frameworks and Standards
8-3 Reporting and Documentation Best Practices
8-4 Auditing and Monitoring Compliance
8-5 Continuous Improvement and Compliance Management
9 Practical Exercises and Labs
9-1 Hands-On Labs with Microsoft Sentinel
9-2 Incident Response Simulation Exercises
9-3 Threat Hunting and Detection Labs
9-4 Automation and Orchestration Practice
9-5 Cloud Security and Compliance Labs
Analyzing and Applying Threat Intelligence

Analyzing and Applying Threat Intelligence

Key Concepts

  1. Threat Intelligence Collection: Gathering data from various sources to understand the threat landscape.
  2. Threat Intelligence Analysis: Processing and interpreting collected data to identify potential threats.
  3. Threat Intelligence Application: Using analyzed intelligence to enhance security measures and respond to threats.

Detailed Explanation

Threat Intelligence Collection

Threat Intelligence Collection involves sourcing data from multiple channels such as open-source platforms, security vendors, government reports, and industry forums. This data includes indicators of compromise (IOCs), threat actor profiles, and emerging threat trends. Effective collection ensures a comprehensive understanding of the current threat environment.

Example: A security team might collect data from public forums where hackers discuss their latest tactics, security vendor reports detailing recent breaches, and government advisories about national security threats.

Threat Intelligence Analysis

Threat Intelligence Analysis involves processing the collected data to identify patterns, correlations, and actionable insights. This includes categorizing threats by type, severity, and potential impact. Analysts use tools and methodologies to transform raw data into meaningful intelligence that can inform security strategies.

Example: Analyzing a series of data breaches might reveal a common malware signature used in each incident. This information can help identify a specific threat actor and predict their next moves.

Threat Intelligence Application

Threat Intelligence Application involves integrating analyzed intelligence into the organization's security operations. This includes updating security policies, enhancing detection mechanisms, and preparing response plans. Applying threat intelligence ensures that the organization is proactive in defending against known and emerging threats.

Example: Based on analyzed threat intelligence, a company might update its firewall rules to block traffic from known malicious IP addresses, deploy new endpoint protection software, and conduct employee training on phishing awareness.

Examples and Analogies

Threat Intelligence Collection: Think of threat intelligence collection as a detective gathering clues from various sources to solve a crime. Each piece of information (clue) contributes to a broader understanding of the criminal's methods and motives.

Threat Intelligence Analysis: Consider threat intelligence analysis as a puzzle-solving activity. Each piece of collected data (puzzle piece) fits together to form a complete picture of the threat landscape.

Threat Intelligence Application: Imagine threat intelligence application as a military strategist using reconnaissance data to plan a defensive operation. The intelligence (reconnaissance data) informs the deployment of troops (security measures) to protect against enemy attacks (cyber threats).