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, ...

This document defines the Cal Lutheran data classification scheme and establishes rules and procedures for protecting sensitive and protected university data processed, received, sent or maintained by ...

The objective of this data classification requirement is to assist the UAB community in the classification of data and systems to determine the appropriate level of security. All UAB data stored, ...

Ottawa, ON - February 4, 2009 - Titus Labs, a leading provider of data classification software, today announced the release of Titus Labs Document Classification (TDC) 3.1. TDC 3.1 offers a unique ...

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 ...

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 ...

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 ...

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 ...

The addition of LLM to Sentra’s classification engine allows scanning and classifying sensitive enterprise data like source codes, and employee details. Classifying sensitive unstructured data like ...

This Policy serves as a foundation for the University’s data security practices and is consistent with the University’s data and records management standards. The University recognizes that the value ...