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CAS-004 Security Operations Practice Question

During a threat hunting exercise, a security analyst hypothesizes that an adversary is using PowerShell to execute malicious scripts. Which approach is the analyst employing?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Hypothesis-driven hunting

Hypothesis-driven hunting starts with a specific assumption about adversary behavior, unlike IoC-driven (based on known indicators) or TTP-driven (focused on tactics, techniques, procedures).

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    TTP-driven hunting

    Why it's wrong here

    TTP-driven hunting focuses on adversary methods, but this scenario starts with a specific hypothesis.

  • ✗

    Machine learning-driven hunting

    Why it's wrong here

    Machine learning-driven hunting mines baselines for statistical anomalies without a stated hypothesis, so it cannot express the analyst's PowerShell premise. It is tempting because ML surfaces unknown threats, and it would be correct when hunting for deviations from normal behaviour rather than testing a specific technique.

  • ✗

    IoC-driven hunting

    Why it's wrong here

    IoC-driven hunting searches for known artefacts such as hashes, domains or IP addresses, whereas the analyst has only a behavioural hypothesis about PowerShell execution. It is tempting because IoCs give fast, high-fidelity matches, and it would be correct when indicators from threat intelligence are available to sweep for.

  • ✓

    Hypothesis-driven hunting

    Why this is correct

    The analyst forms a specific proposition about adversary behaviour, PowerShell execution, then hunts for evidence supporting or refuting it. This structured, hypothesis-first method is hypothesis-driven hunting, matching the stem's constraint of starting from a stated theory rather than an indicator or alert.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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