Applications of AI to Cyber-threat Management

Description:

The course is divided into two parts, a theoretical part alternated to practical modules. After the first 2 days of theory, the students will apply the concepts in the frame of lab exercises.

Topics:

• Understanding security of IT (Informational Technology) and OT (Operational Technology) systems and its impact on industrial operational aspects.
  • Introduction to IT security and OT security
    • Overview of the concept and the strategic importance of security.
    • Principles of networking and data communication infrastructures.
    • Principles of IT security.
    • IT vs. OT security.
  • Cybersecurity and cybercrime: the problems, their evolution, their trends
    • Presentation of case studies of cybersecurity incidents.
    • Lessons learned form known cyberattacks
  • The impact of cybercrime
    • Impact and implications of cyberattacks to IT infrastructures.
    • Impact and implications of cyberattacks to OT infrastructures.
• Applications in Connected Industries
  • Industry 4.0 and the digital transformation
    • The use of cyber threat intelligence to protect industrial processes.
    • The strategic importance of reliable and secure data communication in modern industries.
  • Supply chain attacks
    • Advanced monitoring to detect and prevent supply chain attacks.
    • Asset monitoring and management for business continuity.
    • Monitoring of cloud based solutions to support the connected industry.
  • AI as the core of events and traffic analysis, for threat detection and prevention
    • AI and ML driven solutions for threat detection.
    • Reinforcement learning and federated learning to improve timely asset and operation protection.
• The growing importance of AI and ML in the cybersecurity landscape.
  • Case Studies and Best Practices
    • Real-world examples of successful implementations of cybersecurity solutions to protect connected industries.
    • Lessons learned and best practices for several application domains.
  • Challenges and Opportunities
    • Identification of challenges in implementing AI based protection.

Expected upcoming trends.