Data classification is the process of organizing data into categories that make it easy to retrieve, sort and store for future use. A well-planned data classification system makes essential data easy ...

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 ...

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 ...

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 ...

Data classification is an essential pre-requisite to data protection, security and compliance. Firms need to know where their data is and the types of data they hold. Organisations also need to ...

The concept of classified and declassified data when it pertains to security agencies such as the NSA is familiar, but there is a broader type of data classification for businesses which factors into ...

Nasuni, the unstructured data platform for enterprise teams and AI, today announced it has acquired DryvIQ, a leader in ...

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 ...

The federal government’s tendency to over-classify data is harming national security and “erodes the basic trust that our citizens have in their government,” said Avril Haines, U.S. director of ...