Carnegie Mellon University Information Security Office – Guidelines for Data Classification 3.1 3.1.22 3.1.3 Access Control
This guideline provides an example of Data Classification framework that defines categories for data.
This guideline provides an example of Data Classification framework that defines categories for data.
This article discusses a foundational component necessary to govern the posting of information: Data Classification.
This article provides a comprehensive description of Data Loss Prevention (DLP). The article includes best Practices for DLP planning and preparation, and tools for automating DLP.
This is an example of a policy that fulfills AC.1.1004 Control information posted or processed on publicly accessible information systems.
This example IT practices document from UC Santa Cruz lays out practices for protecting restricted data.