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 ...

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 ...

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 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 ...

CJIS 6.0 introduces data loss prevention requirements that are pushing agencies to rethink how they classify, secure and ...

Explore the top data governance tools of 2025 designed to enhance data security, compliance and management. Data governance tools help organizations manage governance programs. Specifically, they help ...

Wylie Wong is a freelance journalist who specializes in business, technology and sports. He is a regular contributor to the CDW family of technology magazines. It doesn’t take long for a college’s ...

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 ...