Stable 34 - Waking Up the Data Engineer in You

Overview

Explore threat intelligence, attack techniques, and data analysis for enhanced cybersecurity. Learn from an expert about remote services, OSEM, and effective data modeling strategies.

Syllabus

• Introduction to Cybersecurity and Threat Intelligence
Overview of cybersecurity landscape
Importance of threat intelligence
Key concepts and terminology
• Understanding Attack Techniques
Common attack vectors
Cyber kill chain model
Case studies of real-world attacks
• Data Analysis for Cybersecurity
Basics of data analysis in cybersecurity
Techniques for identifying patterns and anomalies
Hands-on data analysis exercises
• Exploring Remote Services in Cybersecurity
Role of remote services
Security challenges of remote services
Best practices for securing remote services
• OSEM (Open Source Event Monitoring)
Introduction to OSEM
Tools and platforms in OSEM
Implementing OSEM in cybersecurity defenses
• Data Modeling Strategies for Enhanced Security
Fundamentals of data modeling
Techniques for designing effective data models
Application of data modeling in threat detection
• Effective Use of Threat Intelligence Platforms
Overview of threat intelligence platforms
Integration of threat intel into security operations
Evaluating and selecting threat intelligence platforms
• Case Studies and Practical Applications
Review of recent cyber incidents
Applying learned strategies to real-world scenarios
Group projects and presentations
• Conclusion and Future Directions in Cybersecurity
Review of key concepts
Emerging trends in cybersecurity
Resources for continued learning and development

Subjects

Conference Talks