hardAnthropic OpenAI Google

An agent reads untrusted web content and tool output. How do you defend against prompt injection?

Any content an agent reads can carry instructions that hijack it. The signal is knowing why filtering can't fully solve injection and which containment controls actually bound the damage when it succeeds.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

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LEARN THE BACKGROUND

These lessons teach the material this question tests, in order and from the beginning.

Applied AI Engineering·Prompting as an engineering disciplineFree13mWhat a prompt is actually made ofA prompt is not a sentence you write once. It is an assembled document with parts that do different jobs, and knowing which part carries which job is the difference between fixing a problem and rewording it.Applied AI Engineering·Prompting as an engineering disciplineFree13mThe prompt failures you will meet, and what each one meansSix failures account for most of what goes wrong with a prompt in production. Each has a distinct cause and a distinct fix, and recognising which one you are looking at is faster than any amount of rewording.

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