Cyber Intelligence - There Are No Rules and No Certainties

Overview

Explore cyber intelligence frameworks, attribution techniques, and practical approaches to managing and automating intelligence processes in the digital domain.

Syllabus

• Introduction to Cyber Intelligence
Definition and Importance
Current Landscape and Trends
• Cyber Intelligence Frameworks
Key Components and Structure
Comparative Analysis of Popular Frameworks (e.g., Cyber Kill Chain, MITRE ATT&CK)
• Threat Analysis and Attribution
Attribution Techniques and Challenges
Case Studies: Notable Attribution Efforts
Ethics and Implications of Attribution
• Data Collection and Management
Sources of Cyber Threat Intelligence
Tools and Techniques for Data Gathering
Data Storage and Privacy Considerations
• Analytical Techniques in Cyber Intelligence
Threat Modeling and Risk Assessment
Machine Learning and AI Applications
Indicators of Compromise (IoCs)
• Automation in Cyber Intelligence
Automation Tools and Platforms
Workflow Design for Automation
Benefits and Limitations
• Practical Approaches to Cyber Threat Intelligence
Building a Cyber Intelligence Team
Developing Effective Intelligence Processes
Collaboration with External Entities
• Case Studies and Real-World Applications
Analyzing Past Incidents
Lessons Learned and Best Practices
• Future Directions in Cyber Intelligence
Emerging Technologies and Innovations
Preparing for the Evolving Threat Landscape
• Final Project
Hands-on Exercise: Develop a Cyber Intelligence Plan
• Review and Conclusion
Summary of Key Concepts
Q&A Session and Open Discussion

Subjects

Conference Talks