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 ...

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 is where strong information security begins. Your data assets are your crown jewels and what cybercriminals are ultimately after. To protect this data and apply appropriate ...

Organizations churn out vast amounts of data every day. Those without defined data classification processes risk not knowing where their data resides or if it's properly protected. Let's examine how ...

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 ...

An effective data loss prevention (DLP) strategy is essential for protecting your organization's data, but without proper data classification, even the best DLP tools can fall short. Data ...

Figure 1: Artistic rendition of the quantum-enhanced classification of data from a network of entangled sensors. The work of Zhang, Zhuang, and co-workers suggests that this quantum machine-learning ...

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 ...

Imagine an employee asking a generative AI assistant to summarize internal documents before a meeting. To provide context, the employee pastes excerpts from customer records, financial reports and ...