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, ...

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.

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 ...

Co-Founder & CEO of SecureCircle, a SaaS-based cybersecurity service that extends Zero Trust security to data on the endpoint. If your company is manually classifying any data, you've already lost the ...

Data classification may not be a new concept, but it is a crucial one in the information security landscape. It’s vital because once you classify data into its type, level of access, and protection ...

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 ...

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 ...

Russell Smith is a technology consultant and trainer specializing in management and security of Microsoft server and client technologies. He is a Microsoft Certified Systems Engineer with more than 15 ...

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 ...

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 ...