Hiring assessments

genaisecuritylab.com/hiring

Proof, not résumés

Hiring assessments let you hire AI security talent on proof, not résumés. Send a candidate a link, and they exploit live targets under the same objective-based format as every lab on the platform — no take-home essay, no whiteboard trivia.

Screening is auto-graded, proctored, and mapped to the OWASP LLM Top 10 by design, not as an afterthought bolted onto a generic test.

How screening works

A candidate's assessment is timed and proctored. They work against live targets — the same kind of seeded target apps used everywhere else on the platform — and are scored on whether they actually extract or trigger what the objective asks for, not on a description of how they'd do it.

A single assessment usually spans several targets, one per objective, so a candidate moves from target to target the way they would in the public catalogue. Because each candidate's target is seeded independently, nobody can pass a working payload along to whoever sits the assessment after them.

What you get

Screening finishes with an auto-graded score and a per-candidate report mapped to the OWASP LLM Top 10 — evidence for your panel, not a verdict. Nobody on your side hand-grades a submission.

A candidates view tracks every person's score and exactly which targets they solved, across the ten OWASP categories the assessment spans, so you can compare candidates on the same basis before a single interview happens. Teams typically report screening candidates around six times faster than manual review, since there's no write-up to read line by line before you know whether someone could actually do the work.

Getting started

Talk to sales to scope a rollout, or book a demo to see a candidate report first.

See genaisecuritylab.com/hiring for current terms and to get started.