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

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 ...

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 ...

The Ministry of Justice (MOJ), represented by the Planning, Quality, and Innovation Department, organized a workshop to introduce the Data Classification Proje ...

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 ...

An effective data loss prevention (DLP) strategy is essential for protecting your organization's data, but without proper data classification, even the best DLP tools can fall short. Data ...

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 ...

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, ...

Data sovereignty is a hot topic. For commercial and public sector organisations, compliance to ensure personal data is secure is a primary objective. And that means it cannot be subject to foreign ...