ScenarioLab gives security hiring teams a scenario lab — candidates analyse deliberately flawed AI-generated reports under time pressure. Scoring is fully deterministic. No LLMs in the loop.
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AI Security Analysis — Network Scan
CVSS 9.8 · Apply input sanitisation immediately.
Recommendation: disable TLS 1.2 and below.
Candidate must identify
The hiring gap
AI-generated security reports are increasingly polished — and increasingly wrong. Candidates who can't distinguish confident AI prose from sound analysis are a liability.
Technical screens test memorised CVEs and syntax. Scenario-based assessments reveal whether candidates actually reason through an analysis or just pattern-match.
Most soft-skill assessments rely on interviewer opinion. ScenarioLab scores against a fixed key — same standard for every candidate, every time.
How it works
Select from curated scenarios — each contains an AI-generated security report with embedded analytical flaws, scored against a fixed rubric.
Paste a candidate email and we send them a private assessment link. They authenticate with a one-time code — no account creation needed.
Each submission produces a detailed evaluation report: per-question scores, reasoning quality, and an overall band. Export as PDF for your records.
Built for security teams
Every response is evaluated against a deterministic rubric. Scoring is a pure function — reproducible and auditable.
20-minute sessions. Realistic pressure without the noise of open-book take-homes.
Per-question scoring with overall bands. Clear signal on where a candidate's reasoning breaks down.
Candidate emails are hashed after OTP verification. Raw answers are never written to the database.