Ageism is bias or discrimination based on age, especially against older people. In cyber security, ageism matters because it shapes who is assumed to be “tech-savvy,” who gets extra help, and whose mistakes are blamed on the user instead of on poor system design. That bias can leave older adults with weaker support, less accessible interfaces, and fewer chances to learn safe online habits.
Attackers also exploit ageist stereotypes. Phishing, fake support calls, and fraud campaigns often rely on the assumption that older users are easier to confuse, isolate, or dismiss. Defenders reduce this risk with clear warnings, simple recovery flows, accessible authentication, and training that avoids patronizing language. In practice, fighting ageism is part of building secure systems: when users can understand prompts, trust support channels, and get help without shame, they are less likely to be tricked or excluded.