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 ...

According to a new Forrester report on data classification and discovery, “This is a foundational capability to develop to optimize your efforts for security, privacy and compliance. You can’t protect ...

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 ...

Guest blog courtesy of CYRISMA. Data classification is where strong information security begins. Your data assets are your crown jewels and what cybercriminals are ultimately after. To protect this ...

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 ...

The federal government’s tendency to over-classify data is harming national security and “erodes the basic trust that our citizens have in their government,” said Avril Haines, U.S. director of ...

Information Security and the Chief Data Officer serve as the initiating authority for this policy. Data and information are important assets of the University and must be protected from loss of ...

Standard Industrial Classification (SIC) is a uniform classification system adopted in 1937; in 1997, these codes were expanded to NAICS (North American Industrial Classification System).