Companies & Deals
Share
CryptoNumerics, a Toronto-based enterprise software company, has launched CN-Protect for Data Science which enables data scientists to implement state-of-the-art privacy protection, such as differential privacy, directly into their data science stack while maintaining analytical value.
According to a 2017 Keggle study, two of the top 10 challenges that data scientists face at work are data inaccessibility and privacy regulations, such as GDPR, HIPAA, and CCPA. Additionally, common privacy protection techniques, such as Data Masking, often decimate the analytical value of the data. CN-Protect for Data Science solves these issues by allowing data scientists to seamlessly privacy-protect datasets that retain their analytical value and can subsequently be used for statistical analysis and machine learning.
"Private information that is contained in data is preventing data scientists from obtaining insights that can help meet business goals. They either cannot access the data at all or receive a low quality version which has had the private information removed." Monica Holboke, Co-founder & CEO CryptoNumerics. "With CN-Protect for Data Science, data scientists can incorporate privacy protection in their workflow with ease and deliver more powerful models to their organization."
Disclaimer of Warranty
The information provided in this article is for general informational purposes only. We make no warranties about the completeness, reliability, and accuracy of this information. Read full disclaimer
CN-Protect for Data Science is a privacy-protection python library that works with Anaconda, Scikit and Jupyter Notebooks, smoothly integrating into the data scientist workflow. Data scientists will be able to create and apply customized privacy protection schemes, streamlining the compliance process, preserve analytical value for model building while ensuring privacy protection and implement differential privacy and other state-of-the-art privacy protection techniques using only a few lines of code.
CN-Protect for Data Science follows the successful launch of CN-Protect Desktop App in March. It is part of CryptoNumerics' efforts to bring insight-preserving data privacy protection to data science platforms and data engineering pipelines while complying with GDPR, HIPAA, and CCPA. CN-Protect editions for SAS, R Studio, Amazon AWS, Microsoft Azure, and Google GCP are coming soon.
Related Articles

Companies & Deals
Stripe’s Reported PayPal Interest: A Signal of Payments Consolidation With Stablecoins in Focus?

Companies & Deals
Riot Platforms Faces Investor Pressure to Accelerate AI Infrastructure Expansion

Companies & Deals
German Financial Innovation: Stuttgart Stock Exchange Merges with Tradias in €500M Deal
Editor's Picks

UAE Stablecoins: Why They Are Built to Travel, Not Stay Local
Walid Abou Zaki
Feb 28, 2026
8 min

The Central Bank of the UAE Clearing the Noise Around Article 62
Walid Abou Zaki
Feb 25, 2026
5 min

Europe’s Crypto Purge: Did Lithuania Just Kick Out Innovation — and is the UAE the Beneficiary?
Salma Naueihed
Feb 18, 2026
7 min
Read More Articles
In the Same Space

Bitcoin Miners Face Price Risk from Iran Conflict Rather Than Energy Costs
Chantal Assi
Mar 13, 2026
3 min

Kazakhstan Pushes Forward Crypto Industry Growth with Presidential Directive
Chantal Assi
Mar 13, 2026
3 min

World Liberty Financial Offers $5M “Super Node” Access in Trump Crypto Venture
Chantal Assi
Mar 13, 2026
3 min

Ethereum’s Future: "Buterin" Highlights Three Core Roles
Chantal Assi
Mar 13, 2026
3 min