Advanced Cybersecurity Threat Detection
( 25 Modules )

Module #1
Introduction to Advanced Threat Detection
Overview of the importance of threat detection, types of threats, and the objective of the course

Module #2
Threat Intelligence Fundamentals
Understanding threat intelligence, its sources, and how to leverage it for detection

Module #3
Network Traffic Analysis
Capturing and analyzing network traffic to identify suspicious patterns and anomalies

Module #4
Endpoint Detection and Response
Using endpoint detection and response tools to identify and respond to threats in real-time

Module #5
Log Analysis and SIEM Systems
Collecting, monitoring, and analyzing log data to detect security threats using SIEM systems

Module #6
Advanced Persistent Threats (APTs) and Nation-State Attacks
Understanding APTs and nation-state attacks, their tactics, and how to detect and respond to them

Module #7
Malware Analysis and Reverse Engineering
Analyzing and reverse-engineering malware to understand its behavior and detect future variants

Module #8
Artificial Intelligence and Machine Learning in Threat Detection
Applying AI and ML to improve threat detection, including anomaly detection and predictive analytics

Module #9
Cloud Security and Threat Detection
Securing cloud environments and detecting threats in cloud-based infrastructure

Module #10
Advanced Threat Detection Using Open-Source Tools
Using open-source tools such as ELK, Bro, and Suricata for advanced threat detection

Module #11
Incident Response and Threat Hunting
Developing an incident response plan and conducting threat hunting exercises to identify unknown threats

Module #12
Threat Modeling and Attack Simulation
Modeling threats and simulating attacks to identify vulnerabilities and improve detection

Module #13
Network Protocol Analysis
Analyzing network protocols such as DNS, HTTP, and FTP to detect anomalies and threats

Module #14
Fileless Malware and Living Off the Land (LOTL) Attacks
Detecting fileless malware and LOTL attacks, which use existing system tools to evade detection

Module #15
IoT and OT Security Threats
Securing IoT and OT devices and detecting threats in industrial control systems

Module #16
Advanced Threat Detection Using Big Data Analytics
Using big data analytics to detect threats and identify patterns in large datasets

Module #17
Security Orchestration, Automation, and Response (SOAR)
Using SOAR solutions to automate and streamline threat detection and response

Module #18
Ransomware and Cryptojacking Detection
Detecting and responding to ransomware and cryptojacking attacks

Module #19
Browser-Based Attacks and Web Application Security
Detecting browser-based attacks and securing web applications to prevent threat propagation

Module #20
Phishing and Social Engineering Detection
Detecting phishing and social engineering attacks, and implementing countermeasures

Module #21
Advanced Threat Detection in Cloud-Native Applications
Detecting threats in cloud-native applications and microservices-based architectures

Module #22
Container Security and Threat Detection
Securing containerized environments and detecting threats in containerized applications

Module #23
threat Detection in DevOps and CI/CD Pipelines
Integrating threat detection into DevOps and CI/CD pipelines to improve security

Module #24
Case Studies in Advanced Threat Detection
Real-world case studies of advanced threat detection in various industries and environments

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Advanced Cybersecurity Threat Detection career

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Advanced Cybersecurity Threat Detection ( 25 Modules )

Advanced Cybersecurity Threat Detection
( 25 Modules )