Robot Explains Gallery
Security risks specific to LLM apps and AI agents, and how we defend them.
Private info to share only with safe, trusted people.
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When sneaky attackers steal data and send it out without permission.
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How the robot looks things up before it answers.
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AI that can take actions and use tools to get things done.
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When an AI sounds sure but makes something up.
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The rules and filters that keep an AI's answers safe.
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Friendly testers find weak spots so we can fix them.
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How we test whether an AI is helpful, safe, and working as we want.
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Wrong information that spreads, by accident or on purpose.
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When sneaky instructions try to boss the AI around.
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When sneaky hidden instructions in a page or file trick an AI.
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When someone tries to trick an AI past its safety rules.
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