Original task design
Each task starts with a target security skill, a clear objective, and constraints chosen for the model and agent setup.
CYBERSECURITY AI TRAINING DATA
Cybersecurity training data built for your model.
CYVARC builds original cybersecurity task datasets for companies developing local or specialized models, frontier labs, and data-labeling providers. Tell us which capabilities matter, how your agents operate, and what your pipeline expects. We design the tasks and validation process around those requirements.
A complete task package, not a loose prompt collection.
A useful security task needs a stable environment, a solution that another expert can reproduce, and a reward signal that measures the intended behavior. We treat those parts as one deliverable.
Verified solution paths
A specialist solves the task from scratch so unclear instructions, brittle setup, and accidental shortcuts are found before delivery.
Reviewed agent runs
We inspect useful successes and failures, remove noise caused by broken environments, and prepare clean reference trajectories when requested.
Designed around your pipeline.
For local and specialized models
Select the capabilities your model needs to learn, then tune difficulty, context, tool access, and task volume to its current level.
For frontier labs
Commission private, high-difficulty tasks with reproducible environments, independent solution checks, reviewed runs, and reward logic tested for shortcuts.
For data-labeling providers
Add cybersecurity task writing, domain review, solution validation, and reward design to an existing labeling or post-training workflow.
Delivery formats
Request standalone task packages, reviewed traces, SFT-ready trajectories, reward checks, or a complete dataset in the schema your pipeline uses.
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.