In an era of hyperconnectivity, Network Security is no longer an optional safeguard, it is a core architectural principle. The Network Security Group investigates, develops, and evaluates advanced strategies to protect communication networks against evolving cyber threats. Our focus is on proactive and intelligent security mechanisms that go beyond traditional perimeter defences. We combine theoretical modelling with applied research across three key pillars: • Network Fuzzing: Uncovering protocol vulnerabilities through intelligent fuzz testing to detect deep flaws before attackers do. • Intrusion Detection Systems: Leveraging AI and deep learning for anomaly-based detection of sophisticated cyberattacks. • Network Security Simulation: Creating safe, virtual environments to simulate and evaluate real-world threats targeting complex infrastructures, including smart grids and IoT systems. We are also exploring emerging technologies such as LLM-based anomaly classifiers and cyber-physical security for critical infrastructure protection, with strong ties to current industrial and EU-level regulatory demands (e.g., CRA, NIS2, IEC 62443, MITRE ATT&CK). Our aim is to anticipate, simulate, and defend, transforming resilience from a buzzword into a quantifiable, verifiable system property.