Purdue University academic and administrative data are important university resources and assets. Data used by the University often contains detailed information about Purdue University as well as ...
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 ...
All SUNY Cortland’s data must be classified into one of the three categories and protected using appropriate security measures consistent with the minimum standards for the classification level as ...
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 ...
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 ...
When it comes to managing data, we need to know where it is – but we also need to know what it is. With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, ...
Figuring out what information should be classified and controlling access to it has been an eternal headache for defense and national security organizations—a headache that got a lot of attention ...
With constant regulatory scrutiny and data breaches on the rise, companies of all industries and sizes are under pressure to get their data management and security strategies in tip-top shape. Yet, an ...
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 ...
The Mahalanobis-Taguchi System (MTS) has evolved into a robust tool for multivariate data classification and optimisation, merging statistical distance measures with the design philosophy of robust ...
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