Cybersecurity Analyst Interview Question

How do you decide whether an alert is a true positive or a false positive?

What the interviewer is probing, how to structure your answer, and a spoken example you can adapt.

Quick answer

A true positive means the detection logic fired on the behavior it was designed to catch. Decide by reconstructing what actually happened on the host, not by whether it turned out to be malicious. Malicious activity is a separate axis, which is why benign true positive exists as a verdict. Use process lineage, user intent, change records and baseline comparison, then record the evidence that drove the call.

Why interviewers ask this

Analysts who conflate false positive with not malicious create tuning disasters, because they suppress rules that were working correctly. The interviewer is testing your vocabulary precision and your evidence standard. They want to hear that you can articulate what evidence would flip your verdict, and that you know the cost of a wrong call in both directions: alert fatigue on one side, a missed intrusion on the other.

How to structure your answer

  • Define the two axes: did the rule fire correctly, and was the activity malicious.
  • Explain the evidence you gather before committing to a verdict.
  • Say what would make you reverse your call.
  • Mention the tuning action each verdict triggers.

Example answer

Spoken example, first person

I keep two questions separate. Did the rule fire on what it was written to catch, and was that behavior malicious. If a rule for remote service creation fires because a sysadmin used PsExec during a patch window, that is a true positive on the detection and benign in intent. Calling it a false positive is how you end up suppressing PsExec entirely and missing the real one six months later. Practically, I rebuild the sequence: parent process, command line, the account, the time, whether it lines up with a change record, and whether the same pattern shows up on peer machines. If ninety machines in the same organizational unit did it within five minutes, it is almost certainly automation. If it is one host at three in the morning with an interactive logon, I escalate. I always write down the specific evidence that would change my mind, because on the next shift somebody else may be the one who finds it.

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Follow-up questions to expect

  • Can you give me an example of a benign true positive you handled?
  • How do you measure whether your false positive rate is improving?
  • Who signs off before a rule gets suppressed?

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