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 ...

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 ...

When it comes to managing data, we need to know where it is – but we also need to know what it is. With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, ...

Thales report shows AI can boost security only when data visibility and governance foundations are in place for unstructured 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 ...

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 ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.

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, ...

To help you better understand the type of data with which you interact, UAB IT will enable data classification labels for files in the Microsoft 365 environment on Dec. 6. Labels correspond to UAB’s ...