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 Cloud Security

Overview of Cloud Security

Key Concepts

  1. Shared Responsibility Model: The division of security responsibilities between the cloud provider and the customer.
  2. Data Sovereignty: The legal jurisdiction under which data is stored and processed.
  3. Compliance and Regulatory Requirements: The standards and regulations that must be adhered to for data protection.
  4. Identity and Access Management (IAM): The processes and technologies used to manage user identities and access rights.
  5. Encryption: The process of converting data into a secure format to protect it from unauthorized access.
  6. Network Security: The measures taken to protect the integrity, confidentiality, and availability of data in transit.

Detailed Explanation

Shared Responsibility Model

The Shared Responsibility Model defines the division of security responsibilities between the cloud provider and the customer. The provider is responsible for the security of the cloud infrastructure, while the customer is responsible for securing their data and applications within the cloud. This model ensures that both parties are accountable for maintaining a secure environment.

Example: In a public cloud environment, the cloud provider is responsible for securing the physical data centers and the underlying infrastructure, while the customer is responsible for securing their virtual machines, applications, and data.

Data Sovereignty

Data Sovereignty refers to the legal jurisdiction under which data is stored and processed. Different countries have varying laws and regulations regarding data storage and access, which can impact where data can be stored and how it can be accessed. Understanding data sovereignty is crucial for ensuring compliance with local laws and protecting data privacy.

Example: A company operating in the European Union must comply with GDPR regulations, which require that personal data be stored and processed within the EU. This means the company must ensure that their cloud provider stores their data in EU data centers.

Compliance and Regulatory Requirements

Compliance and Regulatory Requirements are the standards and regulations that must be adhered to for data protection. These requirements vary by industry and region and can include standards such as GDPR, HIPAA, and PCI-DSS. Ensuring compliance is essential for protecting sensitive data and avoiding legal penalties.

Example: A healthcare organization must comply with HIPAA regulations, which mandate the protection of patient health information. This includes implementing appropriate security measures to safeguard data in the cloud.

Identity and Access Management (IAM)

Identity and Access Management (IAM) involves the processes and technologies used to manage user identities and access rights. IAM ensures that only authorized users have access to specific resources and data within the cloud environment. This includes authentication, authorization, and auditing of user activities.

Example: A cloud-based application uses IAM to control access to sensitive customer data. Users must authenticate using multi-factor authentication (MFA) and are granted access only to the resources they need to perform their job functions.

Encryption

Encryption is the process of converting data into a secure format to protect it from unauthorized access. Encryption ensures that even if data is intercepted or accessed without permission, it cannot be read or understood without the decryption key. This is a critical component of cloud security to protect data at rest and in transit.

Example: A company stores sensitive financial data in the cloud. The data is encrypted using strong encryption algorithms both when stored in the cloud and when transmitted over the network, ensuring that it remains secure from unauthorized access.

Network Security

Network Security involves the measures taken to protect the integrity, confidentiality, and availability of data in transit. This includes securing network connections, preventing unauthorized access, and protecting against network-based attacks. Network security is essential for ensuring that data remains secure as it moves between different cloud services and on-premises environments.

Example: A cloud-based application uses secure network protocols such as TLS (Transport Layer Security) to encrypt data as it is transmitted between the application and the cloud storage service, ensuring that the data is protected from interception and tampering.

Examples and Analogies

Shared Responsibility Model: Think of the shared responsibility model as a partnership between a landlord and a tenant. The landlord (cloud provider) is responsible for securing the building (infrastructure), while the tenant (customer) is responsible for securing their belongings (data and applications) within the building.

Data Sovereignty: Consider data sovereignty as storing your valuables in a safe deposit box. The rules for accessing and managing the contents of the box (data) depend on the laws of the country where the bank (cloud provider) is located.

Compliance and Regulatory Requirements: Think of compliance as following traffic laws. Just as drivers must follow specific rules to ensure safety on the road, organizations must adhere to regulatory requirements to protect data and avoid legal consequences.

Identity and Access Management (IAM): Imagine IAM as a secure vault with multiple locks. Each lock (authentication method) must be opened by the correct key (user credentials) to grant access to the contents (resources and data) within the vault.

Encryption: Consider encryption as sending a coded message. The message (data) is converted into a format (encrypted) that only the intended recipient (authorized user) can decode and understand.

Network Security: Think of network security as securing a package during transit. Just as you would use packaging materials (encryption) to protect the contents (data) from damage or theft, network security measures protect data as it travels over the network.