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 creates expert SFT and RL cybersecurity datasets for frontier labs, open-model developers, enterprises, 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.
01 · THE STANDARD
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A complete task package, not a loose prompt collection.
Each task package includes an environment, instructions, a programmatic grader, a reference solution, and a writeup. The grader checks the actual result, not the agent's claim that it has finished.
Verified solution paths
A second specialist solves the task blind, without seeing the reference solution. Every task is reviewed by our own team, with no sampling.
Reviewed agent runs
We inspect useful successes and failures, remove noise caused by broken environments, and prepare clean reference trajectories when requested.
02 · YOUR WORKFLOW
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.
YOUR NEXT STEP
Start with a sample.
Tell us which cybersecurity capabilities matter to your work. We can arrange relevant tasks for private review and scope an SFT or RL dataset around your needs.