Unlock the value of data safely.

CryptoNumerics helps data-driven organizations unlock the data they need to maximize business value and insights in a privacy-protected manner, resulting in full customers’ trust and regulatory compliance (GDPR and CCPA).

Privacy protection for the data-driven enterprise

Preserve data quality for better insights

Preserve maximum data quality with our comprehensive series of privacy actions optimized to maximize privacy protection and data quality.

Protect all type of data assets

Anonymize structured, unstructured, and transactional data, as well as images, video (security camera footage), and audio (call center calls).

Access all the data you need

Unlock data siloes and data partnerships. Train ML models with data partners without exposing, sharing, or moving your data.

From a single platform, CryptoNumerics enables

PII Discovery and Classification

Privacy Risk Quantification

Policy
Management

Personal Information
De-identification

Protected Multi-Party Analytics

From a single platform, CryptoNumerics enables

PII Discovery and Classification

Privacy Risk Quantification

Policy
Management

Personal Information
De-identification

Protected Multi-Party Analytics

Solution

Privacy-Protected Data Lakes

Data Lakes are becoming more common among data-driven organizations in their search to extract value from their data assets. What these organizations are not aware of, is that their data lakes are privacy time bombs due to the presence of Personally Identifiable Information (PII). Our solutions classify and de-identify private information before it is sent into a data lake, effectively removing PII, thus creating data-lakes that are privacy-protected.

See how we can help

Solution

Privacy-Protected Cloud Migration

Cloud technology is revolutionizing how data-driven organizations work with their data; however, moving data to the cloud expose them to privacy risks and data residency regulations. Our solutions help organizations overcome these challenges by providing a way to generate privacy-protected datasets that can then be uploaded to the cloud or by allowing them to train statistical or ML models without moving data to different cloud locations.

See how we can help

Solution

Privacy-Protected Data Sharing & Collaboration

Data-driven organizations are continually trying to collaborate with data partners to augment the value of their data assets; however, regulations, IP protection, and lack of trust limit the movement of data. Our solutions help organizations overcome these challenges by providing a way to generate privacy-protected datasets or by allowing them to train machine learning models with their partners, without exposing, sharing, or moving data.

See how we can help

Solution

Privacy-Protected Data Lakes

Data Lakes are becoming more common among data-driven organizations in their search to extract value from their data assets. What these organizations are not aware of, is that their data lakes are privacy time bombs due to the presence of Personally Identifiable Information (PII). Our solutions classify and de-identify private information before it is sent into a data lake, effectively removing PII, thus creating data-lakes that are privacy-protected.

See how we can help

Solution

Privacy-Protected Cloud Migration

Cloud technology is revolutionizing how data-driven organizations work with their data; however, moving data to the cloud expose them to privacy risks and data residency regulations. Our solutions help organizations overcome these challenges by providing a way to generate privacy-protected datasets that can then be uploaded to the cloud or by allowing them to train statistical or ML models without moving data to different cloud locations.

See how we can help

Solution

Privacy-Protected Data Sharing & Collaboration

Data-driven organizations are continually trying to collaborate with data partners to augment the value of their data assets; however, regulations, IP protection, and lack of trust limit the movement of data. Our solutions help organizations overcome these challenges by providing a way to generate privacy-protected datasets or by allowing them to train machine learning models with their partners, without exposing, sharing, or moving data.

See how we can help

Latest from CryptoNumerics

4 techniques for data science

With growing tension between privacy and analytics, the job of data scientists and data architects has become more complicated. The responsibility of data professionals is not just to maximize the value of the data, but to find ways in which data can be privacy...

read more

IoT and everyday life; how interconnected are we?

The Internet of Things (IoT) is a term spanning a variety of 'smart' applications. This ranges from things like smart fridges, to smart cities. This idea of 'smart' or IoT is the connectedness between everything and the internet.  It's hard to grasp the amount of data...

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Key terms to know to navigate data privacy

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Latest from CryptoNumerics

4 techniques for data science

With growing tension between privacy and analytics, the job of data scientists and data architects has become more complicated. The responsibility of data professionals is not just to maximize the value of the data, but to find ways in which data can be privacy...

read more

IoT and everyday life; how interconnected are we?

The Internet of Things (IoT) is a term spanning a variety of 'smart' applications. This ranges from things like smart fridges, to smart cities. This idea of 'smart' or IoT is the connectedness between everything and the internet.  It's hard to grasp the amount of data...

read more

Key terms to know to navigate data privacy

As the data privacy discourse continues to grow, it's crucial that the terms used to explain data science, data privacy and data protection are accessible to everyone. That's why we at CryptoNumerics have compiled a continuously growing Privacy Glossary, to help...

read more