Data governance frameworks were built for a world where humans created most data, but AI has changed that equation.

DoControl, a leader in SaaS data security, today expanded its platform into data-at-rest classification - combining access ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

A data classification policy template gives you a repeatable way to define how your organization labels and protects data, so ...

Here's a complete end-to-end demo of what Dr. James McCaffrey of Microsoft Research says is arguably the simplest possible classification technique. The goal of a machine learning classification ...

If you’re a data person, or even if you’re not, you may have heard the statistic cited by Eric Schmidt, executive chairman at Google: “There were 5 exabytes of information created between the dawn of ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

Information technology and data constitute valuable Connecticut College assets. The purpose of data classification is to identify college data and it’s sensitivity. In order to protect the security, ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Today Seclore, the leading provider of data-centric security solutions, announced the release of new Digital Asset Classification and Risk Insights capabilities ...

All college data are classified into levels of sensitivity to provide a basis for understanding and managing college data. Accurate classification provides the basis to apply an appropriate level of ...