Artificial empathy is language that sounds understanding, calm, or reassuring without any real feeling behind it. In AI systems, it is produced by pattern matching: the model learns how supportive people speak and reproduces that style. The result can feel caring even when the content is only generated text.
In cyber security, this matters because users often trust tone as much as facts. Attackers can use emotionally fluent chat to lower suspicion, encourage disclosure, or keep a victim engaged during phishing, romance fraud, or social engineering. Defenders also use it carefully in support bots and assistants, but they must test for over-trust, false reassurance, and harmful dependence. Artificial empathy is useful for smoother interaction, yet it becomes a risk when users mistake performance for judgment or authority.