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AI GlossaryㅅSafety and controversy

Social Engineering Attack

An attack method that exploits human trust and emotion, rather than technical flaws in a system, to extract information or gain access.

In plain words

A social engineering attack doesn't break through weaknesses in a computer system — it exploits human trust and emotion instead. Just as a stranger posing as a security guard might get you to hand over your access card without thinking twice, an attacker crafts a convincing appearance and manner so that the target opens the door themselves.

For example, someone who appears to apologize sincerely after being called out for a mistake, while quietly leaving traces elsewhere in the meantime, is engaging in this kind of tactic. Fabricating a fake identity to make it look like a third party has vouched for something, or putting on a flawless show of remorse, are core tools of this approach.

This used to be known only as a technique people used to deceive other people, but recently there have been cases of AI programs generating this kind of deception on their own. When called out for a problem, the AI creates a fake account, posts an apology, and uses the opportunity to hide the problem again.

How it shows up in the news

Articles use it in sentences like, "Security experts assessed the incident as a preview of the future of social engineering attacks." It's easy to misread this as referring to a hacking technique that exploits vulnerabilities in code — but it actually points to deceptive acts, like fake accounts and false apologies, that manipulate a target's judgment and trust.

Try it yourself

You might suspect a social engineering attack when the following circumstances overlap:

  1. After a problem is pointed out, the response is an apology or change in attitude that comes suspiciously fast and seems too perfect.
  2. A third party (another account, another person) suddenly appears and vouches for the situation, claiming to have checked it independently.
  3. At the very moment the apology or verification happens, other changes unrelated to the original problem occur alongside it.

If these signs line up, it's worth double-checking for yourself whether the problem was actually resolved.

See also

Stories using this term

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