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Advanced Course in Cyber Defense for Advanced Networks


Summary

In today's rapidly evolving technological landscape, protecting advanced networks against cyber threats has become a critical concern for organizations. Advanced networks are more complex and prone to sophisticated attacks, making traditional defense mechanisms less effective. The Advanced Course in Cyber Defense for Advanced Networks, offered by the British Academy for Training and Development, is designed to provide participants with an in-depth understanding of advanced network defense strategies, tools, and techniques to protect against emerging and sophisticated cyber threats.

This course will cover key concepts in defending advanced network architectures, including security protocols, threat intelligence, network monitoring, and incident response, to enable professionals to effectively safeguard network infrastructures from malicious attacks.

Objectives and target group

Who Should Attend?

  • Network security professionals looking to deepen their knowledge in advanced network defense techniques.
  • IT administrators and engineers responsible for the security of network infrastructure.
  • Cybersecurity analysts and experts who want to specialize in network defense strategies.
  • Organizations' IT security teams interested in mastering advanced defense mechanisms for complex network environments.
  • Security architects seeking to enhance the resilience of their network infrastructure.

 

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

  • Equip participants with advanced knowledge in defending complex network infrastructures.
  • Provide hands-on experience with advanced tools and techniques used for network defense.
  • Teach best practices in threat detection, incident response, and vulnerability management for advanced networks.
  • Enable participants to effectively deploy, configure, and monitor network security solutions.
  • Prepare participants to handle real-world cyber threats targeting sophisticated network architectures.

Course Content

  • Understanding the Complexity of Modern Networks

    • Characteristics of advanced network architectures
    • Challenges in securing complex networks
    • Key differences between traditional and advanced network defense strategies
  • Core Principles of Cyber Defense

    • The fundamentals of cyber defense in advanced networks
    • The role of defense-in-depth in network security
    • Understanding the security lifecycle for network infrastructures
  • Overview of Emerging Cyber Threats

    • Analyzing modern cyber threats targeting advanced networks
    • Threat actors and attack vectors in advanced network environments
    • How evolving attack techniques impact network security
  • Designing Secure Network Architectures

    • Principles for designing secure network infrastructures
    • Secure network segmentation and its role in defense
    • The importance of network isolation and controlled access
  • Firewalls and Advanced Intrusion Detection Systems (IDS)

    • Configuring next-generation firewalls for advanced networks
    • Leveraging Intrusion Detection and Prevention Systems (IDS/IPS)
    • How to integrate IDS with other network defense tools
  • Zero Trust Architecture for Advanced Networks

    • What is Zero Trust, and why it’s essential for modern networks
    • How to implement Zero Trust models in network defense
    • Best practices for managing access controls in Zero Trust networks
  • Introduction to Threat Intelligence

    • The importance of threat intelligence in network defense
    • How to gather and analyze threat intelligence for proactive defense
    • Types of threat intelligence: Tactical, Operational, Strategic
  • Network Monitoring Techniques

    • Setting up effective network monitoring systems for early threat detection
    • How to use Security Information and Event Management (SIEM) systems for network security
    • Key network metrics to monitor for signs of compromise
  • Behavioral Analytics for Threat Detection

    • Utilizing machine learning and AI for anomaly detection
    • How to implement behavioral analytics to identify malicious activity
    • Real-world use cases for behavioral analytics in network defense
  • Advanced Network Security Tools

    • Exploring next-generation firewalls (NGFWs) and their configurations
    • Deep Packet Inspection (DPI) and its use in defending against network threats
    • Using advanced endpoint detection and response (EDR) tools in network defense
  • Network Segmentation and Micro-Segmentation

    • The importance of segmentation in protecting advanced networks
    • Implementing micro-segmentation for improved security
    • Best practices for network isolation and traffic filtering
  • Encryption and Secure Communication Protocols

    • Securing network communication with encryption
    • Best practices for deploying and managing secure protocols (SSL/TLS, IPsec, etc.)
    • How to prevent data leakage in complex networks through secure encryption
  • Incident Response Strategies for Advanced Networks

    • The role of incident response in defending advanced networks
    • How to develop and implement an incident response plan
    • Key steps for effective containment, eradication, and recovery during network incidents
  • Forensics and Data Analysis in Network Security

    • Using network forensics tools to investigate incidents
    • How to collect and analyze evidence in network security breaches
    • The importance of logging and auditing in incident analysis
  • Crisis Management and Communication

    • How to manage internal and external communications during a security incident
    • The role of cybersecurity teams in crisis situations
    • How to report security incidents to stakeholders and regulators
  • Vulnerability Assessment for Advanced Networks

    • Identifying and addressing vulnerabilities in complex networks
    • Conducting network vulnerability assessments and audits
    • How to prioritize vulnerabilities based on risk and impact
  • Penetration Testing for Network Defense

    • Techniques for conducting penetration tests on advanced network infrastructures
    • Tools and methodologies for penetration testing in network defense
    • Exploiting vulnerabilities to understand and strengthen network defenses
  • Red Team vs. Blue Team Exercises in Network Defense

    • Understanding the roles of Red Team and Blue Team in cybersecurity
    • How to organize and execute Red Team/Blue Team exercises for advanced networks
    • Lessons learned from simulated attack and defense scenarios
  • The Role of AI and Machine Learning in Cyber Defense

    • How AI and machine learning can enhance network defense strategies
    • Applications of AI in intrusion detection, threat intelligence, and incident response
    • Real-world examples of AI and ML integration in cybersecurity
  • The Future of Network Security: 5G and Beyond

    • Network security challenges with the rollout of 5G networks
    • How to secure 5G and other advanced technologies like IoT and SDN
    • Anticipating future threats and preparing defenses for next-generation networks
  • Building a Cybersecurity Culture in Organizations

    • Developing a security-first mindset among network engineers and IT professionals
    • How to integrate security practices into network operations
    • The importance of continuous education and training in network security

Course Date

2024-12-09

2025-03-10

2025-06-09

2025-09-08

Course Cost

Note / Price varies according to the selected city

Members NO. : 1
£4600 / Member

Members NO. : 2 - 3
£3680 / Member

Members NO. : + 3
£2852 / Member

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