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 ...

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 ...

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 ...

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 ...

Organizations have a lot of data — application data, log files, personal information, source code, customer information, business collateral, and credentials, to name a few — and the volume continues ...

Data sprawl has forced organizations to invest in more data security resources, and is drastically inflating data backup ...

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.

The Komprise data management survey shows that 74% have 5PB or more of stored data and 85% of participants expect to spend ...

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 ...