AI stops cyber-attacks on 5G networks in under 100 milliseconds
Scientists have demonstrated a real-time defence framework designed to protect modern mobile networks and future 6G infrastructure from evolving cyber threats. Researchers at the University of Surrey have developed an artificial intelligence-based defence system capable of identifying and neutralising sophisticated cyber-attacks targeting 5G networks in under 100 milliseconds. The team says the approach could strengthen the security of next-generation mobile networks, including the future transition to 6G. As telecommunications infrastructure evolves, modern 5G systems are increasingly built on open, modular architectures. These designs allow operators to upgrade and expand networks more easily, but they also introduce new cybersecurity challenges. More interconnected components and software-driven functions create additional entry points for attackers. To address these vulnerabilities, the Surrey researchers developed a security framework called TwinGuard that combines AI with a digital twin of the network. The digital twin acts as a continuously updated virtual model of the live system, allowing the AI to monitor activity and detect unusual behaviour in near real time. Digital twin approach enables rapid response Unlike traditional security tools that rely heavily …

