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What social engineering teaches us about securing AI agents.

AI agents are increasingly able to browse the web, retrieve information, and take actions on a user’s behalf. Those capabilities are useful, but they also create new ways for attackers to try to manipulate the system.

These attacks are often described as prompt injection ⁠ : instructions placed in external content in an attempt to make the model do something the user did not ask for. In our experience, the most effective real-world versions of these attacks increasingly resemble social engineering more than simple prompt overrides.

That shift matters.…

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