Securing the future: AI and Machine Learning to protect digital and physical infrastructure
Securing the future: AI and Machine Learning to protect digital and physical infrastructure
This module explores how AI and Machine Learning are reshaping the protection of digital and physical infrastructure against increasingly large and sophisticated cyber threats. The talk explains how attackers are using AI, botnets, infected IoT devices, and normal-looking traffic to launch massive DDoS attacks that can threaten major platforms, service providers, and even national infrastructure.
Key topics include the limitations of traditional DDoS scrubbing centers, the need to detect and stop attacks directly within the network, and the role of AI-driven IP intelligence in identifying suspicious traffic at scale. The presentation also highlights broader security challenges, including quantum-safe connectivity, natural-language security operations, and fiber sensing technologies to protect critical physical assets such as submarine cables.
Teaching staff
Roland has over 35 years of experience within the networking and data communications industry, in the areas of software engineering, technology and product strategy and product management. For the last 20 years he has the role of IP product management/marketing for Alcatel’s (now Nokia) IP/MPLS 7×50 Service Router and Ethernet Services Switch products for Europe, Middle East and Africa. Roland has a MSc. in Electronic Engineering with a specialization in Telecommunications from the University of Antwerp and an Alcatel International Master in Management.
