Fix Me - Beyond Bad IP Addresses, Hashes, and Domains

Overview

Explore advanced threat detection techniques beyond basic indicators, focusing on sophisticated methods to identify and mitigate complex cyber threats.

Syllabus

• Introduction to Advanced Threat Detection
Overview of Traditional vs. Advanced Threat Detection
Understanding Indicators of Compromise (IoCs) and Their Limitations
• Analyzing Behavioral Patterns
Techniques for Profiling and Monitoring Network Behavior
Machine Learning Approaches to Detect Anomalous Activities
• Advanced Malware Detection Techniques
Dynamic and Static Analysis of Malware
Leveraging Sandboxing for Detection and Analysis
• Understanding and Detecting Insider Threats
Behavioral Analytics and User Entity Behavior Analytics (UEBA)
Tools and Techniques for Insider Threat Detection
• Threat Intelligence and Threat Hunting
Utilizing Threat Intelligence Feeds and Platforms
Threat Hunting Methodologies and Best Practices
• Sophisticated Attack Techniques and Mitigation Strategies
Deep Dive into Multi-Stage Attacks
Developing Mitigation Strategies for Advanced Persistent Threats (APTs)
• Analyzing and Detecting Zero-Day Exploits
Techniques for Identifying and Defending Against Zero-Day Exploits
Case Studies on Zero-Day Incident Responses
• Real-Time Monitoring and Advanced Analytics
Implementing Real-Time Threat Detection Systems
Applying Big Data Analytics in Cybersecurity
• Incident Response and Forensics
Advanced Incident Response Planning and Execution
Digital Forensics Techniques for Post-Incident Analysis
• Future Trends in Threat Detection
Emerging Technologies and Methods in Cyber Threat Detection
The Role of Artificial Intelligence and Automation in Future Security Strategies
• Course Review and Capstone Project
Synthesis of Course Concepts through Practical Application
Capstone Project Presentation and Peer Feedback

Subjects

Conference Talks