Environments

Train a model to stay honest to the score that grades it.

Train LLM judges to hold the true verdict under pressure.

Everyone trains the solver. Nobody trains the grader.

Point the audit at your own graders.

Train agents to resist the attacks blocking enterprise deployment.

Turn a 199-technique attack engine into a training signal.

Self-play where the attacker gets harder as the defender improves.

Browser-agent robustness across page, ad, form, and tab.

Cross-modal robustness for multimodal agents.

Fourteen environments with deterministic, non-gameable rewards.

Same behaviour in evaluation and in deployment.

Red-team-backed evidence, mapped to the frameworks you answer to.

The measurement side, and the tools that build the corpus.