false positives

Detection quality is decided before the first alert, by what you logged and how you set the threshold. The scored answer derives both from the questions an investigator will ask.

An LLM reviewer reads every change, which no human team can, and is confidently wrong some of the time. The scored answer places it as a triage layer, measures it, and protects it from the code it reads.

Anyone can write a query that matches an attack. The interview is about everything else: the data source you trust, the benign activity that looks the same, how you proved it fires, and what the analyst does when it does.

A guardrail that blocks everything scores perfectly on attacks. The scored answer measures both errors, tests with attacks the guardrail has not seen, and reports with intervals at the operating threshold.

Measure unnecessary refusal without confusing it with incomplete answers, errors or correct permission denials. Keep useful work and actual security effects visible.