Reduce risk in AI system testing and development with our advanced scramble & de-identify module that ensures personal information is protected while offering optimal datasets for model testing and training.
We don't just deliver you de-identified datasets to safeguard consumer PI. With our scramble & de-identification processes, you can do much more.
| De-identify |
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| De-identify PI (Personal Information) data |
| Could leave traces of PI data |
| Doesn't yield itself to linked data |
| Truyo Scramble & De-identify |
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| Use scrambled PI datasets for testing & training lower environments |
| Scrambles individual PI elements for further anonymization |
| Give your AI model training datasets that have no trace of PI data |
| Scramble and eliminate PI while ensuring precise testing |
| Give your AI model training against racial, regional & other biases |
Enhance consumer data protection during system testing and training of your AI models. Follow four simple steps to obtain de-identified data for testing and training.
In our module, start the process by selecting the source and expected destination of the data. Add the test owner's name for progress tracking and access controls.
Ensure you use the limited PI necessary for testing and training. Choose a batch of items to scramble and de-identify. Use an encryption key to add an extra layer of security.
Whether you want to replace the data in a table, use hashtags instead of PI content, ignore a table category, or scramble everything uniquely, you can easily set table rules for the scramble.
Never worry about system overload. Schedule your scramble job easily and get precise and customized de-identified datasets at the right time. You can edit all tests at any level.
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