Using confidentiality, integrity, and availability to classify data. To determine the level of protections applied to a system, base your classification on the most confidential data stored in the ...

The future of data classification isn't just about categorizing data—it's about understanding it in all its complexity and context.

Revise and replace prior version of the Data Classification Policy. The previous versions of the Data Classification Policy categorized data into three categories: confidential, internal, and public.

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 ...

Classification System UAB IT worked closely with information security officials from UAB Health System to develop the three level data classification system for all data. This system establishes roles ...

The Data Access Policy defines the roles, responsibilities, data management environment, and procedures for granting access to UB’ non-public data. The University at Buffalo (UB, university) is ...

To be compliant, to ensure data is optimally protected, that it is available, that it can be analysed and that it is stored most cost-effectively – these are reasons why data classification is ...

If your company is manually classifying any data, you've already lost the data security battle. Data security is reliant on classification, but data classification is unreliable today because it ...

Purpose This document defines the William & Mary system and data classification scheme and establishes procedures for protecting critical IT systems and sensitive and protected university data ...

Data Classification Categories All Purdue University data will be reviewed on a periodic basis and classified according to its use, sensitivity, and importance to the University, and in compliance ...

The University at Buffalo (UB, university) has legal and ethical obligations to ensure that all forms of university data are adequately secured to minimize the risk of unauthorized use or disclosure.