Catalysis systems are increasingly reliant on advanced computational methods, such as machine learning and data-driven approaches, for reaction optimization and catalyst design. This dependence on digital technology makes them susceptible to cyber threats. Vulnerabilities can arise from outdated software, lack of cybersecurity measures, and the interconnected nature of research networks.
