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People experience and understand cyber security differently. Our ongoing work aims to address the fundamental challenge of how we can understand a diverse range of cyber security experiences, attitudes and behaviours in order to design better, more effective cyber security services and educational materials. In this paper, we take a lifespan approach to study the language of cyber security across three main life stages - young people, working age, and older people. By applying text feature extraction and analysis techniques to lists of cyber security features generated by each age group, we illustrate the differential language of cyber security across the lifespan and discuss the implications for design and research in HCI.