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 ...

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 ...

In today's data-driven age, enterprise success isn't merely contingent on possessing vast amounts of data but on comprehending its nature and value. Amid the sea of information enterprises deal with ...

A data storage strategy that addresses data sovereignty builds on the classification of data in the data audit to limit what data can go where. As part of the classification process, data will be ...

The addition of LLM to Sentra’s classification engine allows scanning and classifying sensitive enterprise data like source codes, and employee details. Classifying sensitive unstructured data like ...

What bothers me the most is that it is almost *never* the low ranking people who screw stuff up like this. In my own personal experience it has almost ALWAYS been the higher ranks who screw stuff up.

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 latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Krishna Narayanaswarmy in ...

The Federal Government has begun moves for data classification and hosting of certain categories of data within the country. This, the government said, would enable the country to attain digital ...