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 ...

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 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 ...

Organizations churn out vast amounts of data every day. Those without defined data classification processes risk not knowing where their data resides or if it's properly protected. Let's examine how ...

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 ...

There are two types of companies: those that run on data and those that will run on data. Infosec professionals will perennially be challenged with more to do than time, budget, and staffing will ...

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 ...