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, transactional data, and spatiotemporal data.
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
Use Case
Protected Vertical DaaS
B2B organizations generate data that is beneficial for their customers, for example, a logistics company offering route optimization intelligence. Bringin in more customers’ data can lead to improved optimization and more accurate models. However, this data contains confidential information, and care must be taken not to expose customer’s data to each other.
Our solutions help B2B companies provide collective intelligence to their customers while making sure that no confidential or private information is exposed.
See how we can help
Use Case
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
Use Case
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
Use Case
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
Use Case
Protected Vertical DaaS
B2B organizations generate data that is beneficial for their customers, for example, a logistics company offering route optimization intelligence. Bringin in more customers’ data can lead to improved optimization and more accurate models. However, this data contains confidential information, and care must be taken not to expose customer’s data to each other.
Our solutions help B2B companies provide collective intelligence to their customers while making sure that no confidential or private information is exposed.
See how we can help
Use Case
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
Use Case
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
Use Case
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
The first step to privacy-protecting your data is to understand privacy attributes
To effectively privacy-protect people’s data, businesses need a risk metric to evaluate privacy exposure and the effectiveness of protection actions. And, while many factors contribute to the overall privacy risk metric, the privacy risk of each dataset is the most...
read more
Facebook collecting healthcare data
As many of our previous blogs have highlighted, COVID-19 is severely impacting the tech world. Privacy regulations have been a hot topic for debate between governments, Big tech, and its users. Facebook has joined the top companies taking advantage of user data in...
read more
Location data and your privacy
As technology grows to surround the entirety of our lives, it comes as no surprise that each and every move is tracked and stored by the very apps we trust with our information. With the current COVID-19 pandemic, the consequences of inviting these big techs into our...
read moreLatest from CryptoNumerics
The first step to privacy-protecting your data is to understand privacy attributes
To effectively privacy-protect people’s data, businesses need a risk metric to evaluate privacy exposure and the effectiveness of protection actions. And, while many factors contribute to the overall privacy risk metric, the privacy risk of each dataset is the most...
read more Facebook collecting healthcare data
As many of our previous blogs have highlighted, COVID-19 is severely impacting the tech world. Privacy regulations have been a hot topic for debate between governments, Big tech, and its users. Facebook has joined the top companies taking advantage of user data in...
read more Location data and your privacy
As technology grows to surround the entirety of our lives, it comes as no surprise that each and every move is tracked and stored by the very apps we trust with our information. With the current COVID-19 pandemic, the consequences of inviting these big techs into our...
read moreGet In Touch
