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, ...

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 ...

University Data is information generated by or for, owned by, or otherwise in the possession of Boston University that is related to the University’s activities. University Data may exist in any ...

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 ...

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 ...

DataHub, the leading context platform company, today announced a new connector with BigID, the leading data security and AI governance platform, that brings BigID's data classification and sensitivity ...

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 the previous, third series of articles on Data with relation to the Indian PDPB2019, we had delved deeper into the meaning and context of Personal Information and Data. In this fourth series, we ...

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 ...

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 ...