Robot Explains Gallery
Security risks specific to LLM apps and AI agents, and how we defend them.
As AI assistants and agents do more, they bring new security risks. These lessons explain LLM security in approachable language, prompt injection, jailbreaks, data leakage, and the defenses that keep AI systems trustworthy. Best for intermediate learners and grown-ups who want to understand AI risk.
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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🧪 Interactive
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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🧪 Interactive
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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