CN-Protect for Data Science

A plugin for your data science platform that lets you privacy protect sensitive datasets to seamlessly use them to create better models.

Privacy protection for Machine Learning – State-of-the-art data privacy protection techniques that preserve more analytical value to help you build better models.

Easy to use – Seamlessly integrate privacy protection into your data science workflow.  Works with Python, Anaconda, Jupyter notebooks and SciKit.

Reduce time dealing with Compliance – Spend less time getting sensitive data released by compliance thanks to our automated privacy protection software that satisfy the latest regulations such as HIPAA, GDPR, CCPA. 

CN-Protect for Data Science

A plugin for your data science platform that lets you privacy protect sensitive datasets to seamlessly use them to create better models.

Privacy protection for Machine Learning – State-of-the-art data privacy protection techniques that preserve more analytical value to help you build better models.

Easy to use – Seamlessly integrate privacy protection into your data science workflow.  Works with Python, Anaconda, Jupyter notebooks and SciKit.

Reduce time dealing with Compliance – Spend less time getting sensitive data released by compliance thanks to our automated privacy protection software that satisfy the latest regulations such as HIPAA, GDPR, CCPA. 

CN-Protect lets you build better models using your current data science stack leveraging AI and the most advanced anonymization techniques, such as optimal k-Anonymity and Differential Privacy, to protect user information while preserving analytical value,.

Features

Plug-in to your Data Science Stack

Privacy protection within pandas with just a few lines of code.  SAS and R Studio plugin versions coming soon.

Full control of the tradeoff between privacy protection and analytical value

Use Privacy Risk and Data Quality metrics to fine-tune the privacy protection of your data elements, including quasi-identifiers.

Use cases

Realizing the potential of healthcare data

A large healthcare network wanted to unlock analytical value from patient data while complying with privacy regulations.

With CN-Protect they were able to preserve the granularity of the relevant analytical data elements while protecting all the identifying attributes, ensuring compliance.

Enable new business partnerships cheaply and quickly

One of the largest aggregators of credit card transaction data wanted to significantly improve data utility of its assets but it had to be done in a way that was privacy compliant and safeguarded consumer information.

With CN-Protect they were able to derive the same analytical value as before privacy protection was applied.

Privacy protected access to data lake without sacrificing data quality

A Re-Insurance company wants to broaden access to its data lake without compromising data privacy, preserving analytical value, and at reasonable infrastructure costs.

With CN-Protect they improved data access for teams without adding excessive infrastructure costs while reducing the risk of consumer information exposure.

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