Course Outline

Introduction to Cyber Threat Intelligence (CTI)

  • Definition and importance of CTI
  • Types of Cyber Threat Intelligence: Tactical, Operational, Strategic, Technical
  • Key concepts and terminologies
  • Understanding different types of cyber threats (malware, phishing, ransomware, etc.)
  • Historical perspective on cyber threats and attacks
  • Current trends in the cyber threat landscape
  • Stages of the intelligence lifecycle

Data Collection Methods

  • Sources of intelligence data (open source, dark web, internal sources)
  • Techniques for data collection
  • Tools and technologies used in data collection

Data Processing and Enrichment

  • Data processing techniques
  • Data normalization and enrichment
  • Automating data processing with tools

Intelligence Analysis Techniques

  • Analytical methodologies: link analysis, trend analysis, behavioral analysis
  • Tools for intelligence analysis
  • Practical exercises on data analysis

Introduction to Threat Intelligence Platforms (TIPs)

  • Overview of popular TIPs (e.g., MISP, ThreatConnect, Anomali)
  • Key features and functionalities of TIPs
  • Integration of TIPs with other security tools

Hands-On with Threat Intelligence Platforms

  • Practical session on setting up and using a TIP
  • Data ingestion and correlation
  • Customizing alerts and reports

Automation in Threat Intelligence

  • Importance of automation in CTI
  • Tools and techniques for automating threat intelligence processes
  • Practical exercises on automation scripts

Importance of Information Sharing

  • Benefits and challenges of sharing threat intelligence
  • Models and frameworks for information sharing (e.g., STIX/TAXII, OpenC2)

Building an Information Sharing Community

  • Best practices for establishing a sharing community
  • Legal and ethical considerations
  • Case studies of successful information-sharing initiatives

Collaborative Threat Intelligence Exercises

  • Conducting joint threat analysis
  • Role-playing scenarios for intelligence sharing
  • Developing strategies for effective collaboration

Advanced Threat Intelligence Techniques

  • Use of machine learning and AI in CTI
  • Advanced threat-hunting techniques
  • Emerging trends in CTI

Case Studies of Cyber Attacks

  • Detailed analysis of notable cyber attacks
  • Lessons learned and intelligence insights
  • Practical exercises on developing intelligence reports

Developing a CTI Program

  • Steps to build and mature a CTI program
  • Metrics and KPIs for measuring CTI effectiveness

Summary and Next Steps

Requirements

  • Basic understanding of cybersecurity principles and practices
  • Familiarity with network and information security concepts
  • Experience with IT systems and infrastructure

Audience

  • Cybersecurity professionals
  • IT security analysts
  • Security operations center (SOC) staff
 35 Hours

Testimonials (4)

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