Solution reproduced
A reviewer completes the intended path and confirms that the success condition matches the stated objective.
CYBERSECURITY REWARD VALIDATION
Reward checks that verify real task completion.
A reward is useful only when it tracks the result the task was designed to measure. CYVARC reviews task completion checks alongside the environment, intended solution, and actual agent behavior. If an agent can receive credit without completing the security objective, the task returns for revision.
Four checks behind a trustworthy reward.
Reward validation is not a final spot check. It is part of task design and expert review, with evidence from the intended solution and representative agent runs.
Agent behavior reviewed
Runs are inspected to distinguish real task progress from tool noise, environment failures, and misleading intermediate states.
Shortcut resistance tested
We try to trigger the reward without satisfying the objective and inspect whether partial or unrelated behavior can receive credit.
The review gate.
Objective integrity
The measurable completion condition must represent the security capability described in the task, not a proxy that is easier to manipulate.
Environment consistency
The same valid solution should produce the same result across clean task instances, with dependencies and state controlled well enough for repeated runs.
Fair difficulty
A task can be demanding without depending on guessing, hidden author knowledge, broken instructions, or an unstable setup.
Delivery or revision
Tasks that pass are packaged with their validation evidence. Tasks with an unreliable signal are revised and checked again before delivery.
Tell us what your model needs to learn or prove.
Share the target capability, domain, expected volume, agent setup, delivery format, and review requirements. We will shape the task and validation plan around them.