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AI Security

Interview question · AI Red Teaming, Evaluation & Response

How would you detect someone stealing your model through its API?

Define the asset and prohibited use before scoring traffic. Distinguish imitation, partial extraction and credential compromise, and test signals against legitimate workloads.

mediumNewUpdated Nov 2026

Define the asset and prohibited use before scoring traffic. Distinguish imitation, partial extraction and credential compromise, and test signals against legitimate workloads.

Make your first attempt

What would you say before reading the answer?

  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

In an original fictional model API service, several accounts make systematic requests for structured outputs. Some also request detailed token scores, and an approved evaluation customer has similar traffic.

  1. What if the accounts share a network address?
  2. What if one key is confirmed stolen?
  3. What if a later model repeats a distinctive answer?
  4. What would make the detection program defensible?

Each rung has a nudge, a model answer, the principle that carries over and the weak answer to avoid. Premium opens every answer and ladder.

UP NEXT ON YOUR JOURNEY
Next in this trackDesign LLM-assisted phishing triage for a security team, and list its failure modes.Next in this trackDesign an automated red-teaming agent that finds new failure classes in a target system from its policy.Next in this trackDiscuss Microsoft's 'Lessons From Red Teaming 100 Generative AI Products'. What does it get right, and what would you add?
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