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Interview question · LLM Application Security

How do AI providers detect and disrupt attackers using their models, and how would you build that capability for your own AI platform?

Refusals stop single requests; disruption stops operators. The scored answer explains how providers find the actor behind thousands of innocent-looking requests, what they do about it, and how to read their reports critically.

hardNewPreparation tags: Anthropic, OpenAI, GoogleUpdated Nov 2026

Refusals stop single requests; disruption stops operators. The scored answer explains how providers find the actor behind thousands of innocent-looking requests, what they do about it, and how to read their reports critically.

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  1. 01 State the assumptions your answer depends on.
  2. 02 Explain the mechanism and choose a control.
  3. 03 Name a condition that would change your decision.

The worked answer includes an approach, scoring criteria and follow-up questions. Compare the reasoning with your own.

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What if · the follow-ups in this answer

The answer works through 4 follow-ups like an interviewer would

You run security for a company offering an AI coding agent as an API. An analyst notices one customer account whose agent sessions scan IP ranges, test logins against internal-looking hostnames and summarise database dumps, all framed as 'authorised penetration testing'.

  1. How do you decide whether this is misuse?
  2. It looks like misuse. What do you do?
  3. What do you build so it is caught faster next time?
  4. How do you summarise how providers disrupt misuse?

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