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, ...

Data classification is the process of organizing data into categories that make it easy to retrieve, sort and store for future use. A well-planned data classification system makes essential data easy ...

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 ...

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 ...

Most information security practitioners would agree that all data is not created equal -- in other words, some data is more sensitive than others, and should be more rigorously protected. There are ...

A goal of precision medicine 1 is to stratify patients in order to improve diagnosis and medical treatment. Translational investigators are bringing to bear ever greater amounts of heterogeneous ...

Data drives business, but data can be a double-edged sword. How can you limit access to that vital enterprise marketing plan, confidential account database or super-secret research report? On the ...

The federal government is facing down the challenge of big data with old-school tactics that can leave gaps within data discovery and classification. It’s time to move on to new practices, with modern ...

Dr. James McCaffrey of Microsoft Research kicks off a series of four articles that present a complete end-to-end production-quality example of binary classification using a PyTorch neural network, ...

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 ...