About Me
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
Overview of SIEM Solutions

Overview of SIEM Solutions

Key Concepts of SIEM Solutions

1. Data Collection and Aggregation

Data Collection is the process of gathering logs and events from various sources across the network, such as firewalls, servers, and applications. These sources generate a vast amount of data, which is then aggregated into a centralized repository. Aggregation ensures that all relevant data is available in one place, making it easier to analyze and correlate.

Example: Think of data collection as a librarian gathering books from different sections of a library. The librarian brings all the books (logs) to a central location (repository) so that they can be easily accessed and studied.

2. Log Management and Normalization

Log Management involves storing, indexing, and retrieving logs for analysis. Normalization is the process of standardizing log formats from different sources, making it easier to analyze them together. This ensures that logs from various devices and applications can be compared and correlated effectively.

Example: Consider log management as organizing a messy closet. You categorize items (logs) and label them (normalize formats) so that you can quickly find what you need when you need it.

3. Real-Time Monitoring and Alerting

Real-time Monitoring allows security teams to observe network activities as they happen. The SIEM solution continuously analyzes incoming data and triggers alerts when it detects suspicious activities or policy violations. These alerts can be configured to notify security personnel via various channels, ensuring that potential threats are addressed immediately.

Example: Imagine real-time monitoring as a security guard watching a surveillance screen 24/7. If the guard notices any unusual activity (suspicious event), they immediately sound the alarm (trigger an alert) to alert the team and take necessary action.

4. Threat Intelligence Integration

Threat Intelligence Integration involves incorporating external threat data into the SIEM solution. This data can come from various sources, such as threat feeds, security vendors, and industry reports. By integrating this information, the SIEM solution can provide more context to detected threats and improve the accuracy of threat detection and response.

Example: Think of threat intelligence as a weather forecast. Just as a weather forecast helps you prepare for upcoming conditions, threat intelligence helps the SIEM solution prepare for and respond to potential threats more effectively.

5. Reporting and Dashboards

Reporting and Dashboards provide visual representations of the security data collected and analyzed by the SIEM solution. These tools allow security teams to monitor the security posture of the organization, track key metrics, and generate reports for stakeholders. Dashboards provide real-time insights, while reports offer historical data for trend analysis and compliance purposes.

Example: Consider reporting and dashboards as a cockpit in an airplane. The cockpit displays various instruments (metrics) that provide the pilot (analyst) with real-time information about the plane's status. Reports are like flight logs that document the journey for future reference.

© 2024 Ahmed Baheeg Khorshid. All rights reserved.