Chapter 1: Fundamentals of Cybersecurity Operations
- Introduction to Security Operations Center (SOC)
- Cyber Threat Landscape Analysis
- Incident Response Frameworks and Best Practices
- Cyber Kill Chain Model
- Threat Intelligence Integration
- Security Information and Event Management (SIEM) Systems
- Log Management and Analysis Tools
Chapter 2: Advanced Threat Detection Techniques
- Behavioral Analytics and Anomaly Detection
- Machine Learning in Threat Detection
- Signature-based Detection Systems
- Network Traffic Analysis Tools
- Endpoint Detection and Response (EDR) Solutions
- Cloud Security Monitoring
- Deception Technologies
Chapter 3: Incident Response and Handling
- Incident Triage and Prioritization
- Incident Containment Strategies
- Forensic Analysis Techniques
- Malware Analysis Tools
- Memory Forensics
- Network Forensics
- Data Recovery and Restoration Techniques
Chapter 4: Threat Hunting Methodologies
- Threat Hunting Fundamentals
- Threat Intelligence Driven Hunting
- Data-driven Threat Hunting Techniques
- YARA Rules for Threat Hunting
- Automated Threat Hunting Tools
- Hunting for Insider Threats
- Threat Hunting in Cloud Environments
Chapter 5: Security Automation and Orchestration
- Introduction to Security Orchestration, Automation, and Response (SOAR)
- Use Cases for SOAR Platforms
- Workflow Automation in Incident Response
- Integration of Security Tools with SOAR
- Scripting and Programming for Automation
- SOAR Metrics and Performance Monitoring
- Case Studies of Successful SOAR Implementations
Chapter 6: Advanced Malware Analysis
- Dynamic Malware Analysis Techniques
- Reverse Engineering Fundamentals
- Sandbox Analysis of Malicious Code
- Memory Dump Analysis
- Disassembling and Debugging Tools
- Malware Classification and Taxonomy
- Advanced Anti-Reversing Techniques
Chapter 7: Threat Intelligence and Information Sharing
- Threat Intelligence Platforms (TIPs)
- Open Source Intelligence (OSINT) Gathering
- Dark Web Monitoring
- STIX/TAXII Standards for Threat Intelligence Sharing
- Automated Threat Feeds Integration
- Intelligence-driven Security Operations
- Legal and Ethical Considerations in Threat Intelligence Sharing
Chapter 8: Advanced Network Security
- Network Segmentation Strategies
- Intrusion Detection and Prevention Systems (IDPS)
- Advanced Firewall Configuration and Management
- VPN Technologies and Secure Remote Access
- Secure Web Gateway Solutions
- Network Access Control (NAC) Implementation
- Zero Trust Network Architecture
Chapter 9: Cloud Security Operations
- Cloud Security Architecture Principles
- Identity and Access Management (IAM) in the Cloud
- Cloud Compliance and Governance
- Cloud Security Monitoring Tools
- Incident Response in Cloud Environments
- Data Protection and Encryption in the Cloud
- Container Security Best Practices
Chapter 10: Professional Development and Emerging Trends
- Career Pathways for SOC Analysts
- Continuous Learning and Skill Development
- Industry Certifications for SOC Professionals
- Emerging Threats and Trends in Cybersecurity
- Ethical Hacking and Red Team Exercises
- Soft Skills for SOC Analysts
- Future of Security Operations
SOC Analyst Tools:
– SIEM Platforms (e.g., Splunk, IBM QRadar)
– Endpoint Detection and Response (EDR) Tools (e.g., CrowdStrike, Carbon Black)
– Network Traffic Analysis Tools (e.g., Wireshark, Zeek)
– Forensic Analysis Tools (e.g., Autopsy, Volatility)
– Threat Intelligence Platforms (e.g., ThreatConnect, Anomali)
– SOAR Platforms (e.g., Palo Alto Networks Cortex XSOAR, IBM Resilient)
– Malware Analysis Tools (e.g., IDA Pro, Ghidra)
Requirements
- 1. Proficiency in Security Operations Tools: Prospective students should have a foundational understanding of security operations tools commonly used in SOC environments, including SIEM platforms, EDR solutions, network traffic analysis tools, and malware analysis tools. Prior experience or familiarity with these tools will facilitate smoother comprehension and application of advanced concepts throughout the course.
- 2. Strong Analytical and Problem-Solving Skills: Given the complex nature of cybersecurity operations, students should possess strong analytical and problem-solving skills. They should be able to critically analyze security incidents, identify patterns and anomalies in data, and formulate effective strategies for incident response and threat mitigation. Additionally, the ability to think creatively and adapt to evolving threats is crucial for success in the dynamic field of cybersecurity operations.
Features
- 1. Hands-On Practical Training: The curriculum emphasizes practical, hands-on learning experiences. Throughout the course, students engage with real-world scenarios, use industry-standard tools, and participate in simulations of cyber threats and incidents. This approach ensures that learners not only understand theoretical concepts but also gain proficiency in applying them in a simulated SOC environment.
- 2. Comprehensive Coverage of Advanced Techniques: The curriculum covers a wide range of advanced techniques and methodologies used in modern Security Operations Centers (SOCs). From threat detection and incident response to threat hunting and malware analysis, students acquire in-depth knowledge and skills across various aspects of cybersecurity operations. This comprehensive coverage equips them with the expertise needed to effectively identify, analyze, and respond to complex cyber threats.
- 3. Integration of Industry-Standard Tools: Throughout the course, students become familiar with industry-standard tools and technologies commonly used in SOC environments. They gain hands-on experience with tools such as SIEM platforms, EDR solutions, forensic analysis tools, and threat intelligence platforms. By working with these tools, students develop practical proficiency and readiness to use them in real-world SOC operations, enhancing their employability and effectiveness as SOC analysts.