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
Automation and Orchestration Practice

Automation and Orchestration Practice

Key Concepts

  1. Automation: The use of technology to perform tasks without human intervention.
  2. Orchestration: Coordinating multiple automated tasks to work together seamlessly.
  3. Playbooks: Pre-defined sets of actions and responses to specific security incidents.
  4. Workflows: Sequences of tasks that are automated to achieve a specific goal.
  5. Integration: Combining different systems and tools to work together.
  6. Scalability: The ability to handle increased workloads without a proportional increase in resources.
  7. Monitoring: Continuous tracking of systems and processes to ensure they are functioning correctly.
  8. Alerting: Notifying relevant parties when predefined conditions are met.
  9. Reporting: Generating and analyzing data to provide insights and improve decision-making.

Detailed Explanation

Automation

Automation involves using technology to perform tasks without human intervention. In the context of security operations, automation can handle routine tasks such as log analysis, threat detection, and incident response, freeing up human analysts to focus on more complex issues.

Example: An automated system can scan network traffic for known malicious IP addresses and automatically block them, reducing the need for manual intervention.

Orchestration

Orchestration coordinates multiple automated tasks to work together seamlessly. This ensures that tasks are performed in the correct order and that the output of one task feeds into the next, creating a cohesive process.

Example: An orchestration tool can automate the entire incident response process, from detecting a threat to isolating affected systems and notifying stakeholders, ensuring that each step is completed efficiently and in the correct sequence.

Playbooks

Playbooks are pre-defined sets of actions and responses to specific security incidents. They provide a structured approach to handling common threats and ensure that all team members follow the same procedures.

Example: A phishing attack playbook might include steps to quarantine affected emails, notify users, and conduct a security awareness training session.

Workflows

Workflows are sequences of tasks that are automated to achieve a specific goal. They are often used to streamline complex processes and ensure that all necessary steps are completed.

Example: A vulnerability management workflow might include tasks such as scanning for vulnerabilities, prioritizing them based on risk, and deploying patches automatically.

Integration

Integration involves combining different systems and tools to work together. This ensures that data and actions can be shared across platforms, improving efficiency and reducing manual work.

Example: Integrating a SIEM (Security Information and Event Management) system with an incident response platform allows for automatic logging of security events and triggers automated responses.

Scalability

Scalability refers to the ability to handle increased workloads without a proportional increase in resources. In security operations, this means that automated systems can manage more data and incidents as the organization grows.

Example: A scalable automation solution can handle an increasing number of security alerts without requiring additional human analysts, ensuring that the organization can maintain a high level of security as it expands.

Monitoring

Monitoring involves continuous tracking of systems and processes to ensure they are functioning correctly. This helps in detecting anomalies and ensuring that automated tasks are performing as expected.

Example: Continuous monitoring of network traffic can detect unusual patterns that may indicate a security breach, allowing for timely intervention.

Alerting

Alerting notifies relevant parties when predefined conditions are met. This ensures that critical issues are addressed promptly and that the right people are informed at the right time.

Example: An alert system can notify the security team when a high-severity vulnerability is detected, ensuring that immediate action is taken to mitigate the risk.

Reporting

Reporting involves generating and analyzing data to provide insights and improve decision-making. This includes creating reports on security incidents, compliance status, and operational efficiency.

Example: A monthly security report can provide insights into the types of incidents that occurred, the effectiveness of automated responses, and areas that require improvement.

Examples and Analogies

Automation: Think of automation as a dishwasher. Just as a dishwasher cleans dishes without human intervention, automation handles routine tasks in security operations without requiring constant human oversight.

Orchestration: Consider orchestration as a conductor leading an orchestra. The conductor ensures that all musicians play in harmony, just as orchestration ensures that all automated tasks work together seamlessly.

Playbooks: Imagine playbooks as a recipe book. The recipes provide step-by-step instructions for preparing dishes, just as playbooks provide structured procedures for handling security incidents.

Workflows: Think of workflows as a factory assembly line. Each station on the line performs a specific task, and the final product is assembled efficiently, just as workflows automate sequences of tasks to achieve a specific goal.

Integration: Consider integration as a universal remote control. The remote can operate multiple devices, ensuring they work together, just as integration combines different systems and tools to work seamlessly.

Scalability: Imagine scalability as a rubber band. The rubber band can stretch to accommodate more weight without breaking, just as scalable systems can handle increased workloads without a proportional increase in resources.

Monitoring: Think of monitoring as a security camera system. The cameras continuously watch over the premises, detecting any unusual activities, just as monitoring tracks systems and processes to ensure they are functioning correctly.

Alerting: Consider alerting as a smoke detector. The detector sounds an alarm when it detects smoke, notifying the occupants to take action, just as alerting notifies relevant parties when predefined conditions are met.

Reporting: Imagine reporting as a health check-up report. The report provides detailed information about the patient's health, just as reporting generates and analyzes data to provide insights and improve decision-making.