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 ...

Data governance frameworks were built for a world where humans created most data, but AI has changed that equation.

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 improved Data Classification module contains Worksheet, Wizard Pages, and more, serving as a consolidation of the aforementioned features, making it easier and more efficient to classify data.

This Policy serves as a foundation for the University’s data security practices and is consistent with the University’s data and records management standards. The University recognizes that the value ...

DoControl, a leader in SaaS data security, today expanded its platform into data-at-rest classification - combining access ...

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 ...

While the responsibility to classify data rest with the data steward there are some predefined types of sensitive and restricted/PHI institutional data. Based upon state, federal, and contractual ...

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 ...