Chapter 9 of 10 · AI Security 90%

🖼️ Researchers stole chat data from AI assistants with a single broken image: no click, no script, no warning. Could you spot the line of code that lets the model's output run wild?

Model output is just untrusted input wearing a disguise. You'll make a model spit out an XSS payload, watch a Flask app run it, and disarm it with one line: the same encode-at-the-sink fix triagers love to see. 🔒

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AI Security

🖼️ Researchers stole chat data from AI assistants with a single broken image: no click, no script, no warning. Could you spot the line of code that lets the model's output run wild?

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Course Chapters

AI and LLM security fundamentals

LLM application architecture

Prompt injection attacks

Indirect prompt injection

Jailbreaks and guardrail bypass

Sensitive information disclosure

RAG and embedding attacks

LLM agents and tool abuse

Insecure output handling

LLM application defense