Effective classification can help businesses manage security, compliance and access, but relying on employees to review and ...

The purpose of this standard is to provide the University community with a framework for securing information from risks including, but not limited to, unauthorized use, access, disclosure, ...

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 ...

The purpose of this standard is to assist Users, Stewards, Managers, and Information Service Providers in identifying what level of security is required to protect data for which they are responsible.

Effective data protection hinges on data classification and risk assessment. This article explores how classifying data based on sensitivity enables targeted security measures and efficient resource ...

Most information security practitioners would agree that all data is not created equal -- in other words, some data is more sensitive than others, and should be more rigorously protected. There are ...

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 ...

Data classification is where strong information security begins. Your data assets are your crown jewels and what cybercriminals are ultimately after. To protect this data and apply appropriate ...

Data clustering and classification have become indispensable for extracting actionable insights from large-scale, heterogeneous datasets characterised by high volume, velocity and variety. Clustering ...