Cloud Threat Detection

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Duration 5 days – 35 hrs

 

Overview

 

The Cloud Threat Detection training course spans five days and is designed to equip cybersecurity professionals with the skills needed to detect and respond to threats in cloud environments effectively. Participants will learn advanced techniques and best practices for monitoring, analyzing, and mitigating security incidents specific to cloud platforms and services. This course integrates hands-on labs and practical exercises to enhance understanding and prepare attendees for real-world scenarios in cloud threat detection.

 

Objectives

 

  • Understand the fundamentals of cloud threat landscape and attack vectors.
  • Learn advanced techniques for monitoring and detecting threats in cloud environments.
  • Gain proficiency in using cloud-native and third-party tools for threat detection.
  • Develop skills to analyze and respond to security incidents in cloud infrastructures.
  • Prepare for challenges in cloud threat detection through practical simulations and case studies.

 

Audience

 

  • Security Analysts
  • Incident Responders
  • Cloud Security Engineers
  • System Administrators
  • Network Security Professionals

Prerequisites 

  • Basic understanding of cloud computing fundamentals.
  • Familiarity with networking protocols and principles.
  • Proficiency in using Linux command-line interfaces.
  • Prior experience in cybersecurity or cloud security is recommended but not mandatory

 

Course Content

 

Day 1: Introduction to Cloud Threat Detection

Morning Session:

  • Overview of Cloud Threat Landscape
    • Common Threats and Attack Vectors
    • Differences between Cloud and On-Premise Threats
  • Cloud Security Challenges and Considerations

Afternoon Session:

  • Introduction to Cloud Logging and Monitoring
    • Cloud Service Models and Logging Capabilities
    • Cloud Monitoring Tools and Services

 

Day 2: Cloud Log Management and Analysis

Morning Session:

  • Cloud Log Collection Strategies
    • Log Sources and Collection Methods
    • Centralized Logging Architectures

Afternoon Session:

  • Cloud Log Analysis Techniques
    • Log Parsing and Filtering
    • Using SIEM (Security Information and Event Management) in Cloud Environments

 

Day 3: Threat Detection Techniques in Cloud Environments

Morning Session:

  • Threat Detection Principles and Methodologies
    • Behavioral Analytics and Anomaly Detection
    • Signature-based Detection vs. Behavioral Analysis

Afternoon Session:

  • Cloud-specific Threat Detection Tools and Services
    • Cloud-native Security Solutions (e.g., AWS GuardDuty, Azure Security Center)
    • Third-party Threat Detection Platforms

 

Day 4: Incident Response and Handling in Cloud Environments

Morning Session:

  • Incident Response Frameworks and Processes
    • Cloud-specific Incident Response Challenges
    • Incident Triage and Prioritization

Afternoon Session:

  • Cloud Incident Simulation and Tabletop Exercises
    • Responding to Common Cloud Security Incidents
    • Case Studies and Best Practices

 

Day 5: Threat Hunting and Continuous Improvement

Morning Session:

  • Threat Hunting Techniques in Cloud Environments
    • Proactive Threat Hunting Strategies
    • Using Threat Intelligence in Cloud Threat Detection

 

Afternoon Session:

  • Cloud Threat Detection Report Writing and Documentation
    • Structure and Content of Threat Detection Reports
    • Communicating Findings and Recommendations
  • Review and Practice Exam
    • Key Concepts Review
    • Practice Exam Questions
  • Course Wrap-Up and Q&A Session
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