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Interview question · Cloud, Container & AI Infrastructure Security

Build runtime detection for Linux hosts and Kubernetes with open-source tools: auditd, osquery, Falco and Tetragon. What does each do best?

Four open-source tools, four different questions: what happened, what is the state now, is this behaviour forbidden, and can the kernel stop it. Choosing well starts with knowing which question each answers.

hardNewPreparation tags: Google, Amazon, WizUpdated Nov 2026

Four open-source tools, four different questions: what happened, what is the state now, is this behaviour forbidden, and can the kernel stop it. Choosing well starts with knowing which question each answers.

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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 5 follow-ups like an interviewer would

A startup runs 40 Kubernetes nodes with no runtime security and a small security team. They want open-source detection that catches container compromise and does not drown them in alerts.

  1. Which tool do you deploy first, and why?
  2. What do node sensors miss?
  3. When would you add Tetragon enforcement?
  4. How do you know the sensors themselves are still working?
  5. What is the target open-source runtime stack?

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.

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