Per UAB’s Data Classification Rule, university-owned data is classified as belonging to one of three tiers, Public, Sensitive or Restricted/PHI (Restricted) Data. Based on the classification ...

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 and responsibilities ...

Symmetry unveils comprehensive AI-powered features and taxonomy integrating sensitive data identifiers, data types, and privacy frameworks; plans open source release to drive vendor consistency and ...

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

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 ...

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 ...

UB classifies data into three risk-based categories to regulate access to, use of, and necessary precautions required to the protect university data. This policy provides a classification framework ...

CIOs and IT directors working on any project that involves data in any way are always more likely to succeed when the organisation has a clear view of the data it holds. Increasingly, organisations ...