Datasheet
Training Data Guardrails
Protect sensitive data before it is ever used to train, fine-tune, evaluate or test a model — with model quality, referential integrity and distributions preserved.
Mage Data’s Training Data Guardrails discover sensitive elements across structured, semi-structured and unstructured data, apply the right protection technique by policy — masking, anonymization, tokenization or synthetic data — and validate that the result is still fit for the model’s task. Enforcement runs at collection and inside the pipelines and notebooks your teams already use, so every downstream copy is safe to move across teams and third parties. Download the datasheet to see how Mage Data removes sensitive data from training sets without degrading the model.
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See how Mage Data can help protect your sensitive information.