Data governance frameworks were built for a world where humans created most data, but AI has changed that equation.

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 ...

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 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 ...

A data classification policy template gives you a repeatable way to define how your organization labels and protects data, so teams always know what’s sensitive, what’s not, and how to handle each ...

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 ...

There are two types of businesses in the world today: those that run on data and those that will run on data. Data security now sits at the top of nearly every organization's priority list. But with ...

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 ...

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 ...

DoControl, a leader in SaaS data security, today expanded its platform into data-at-rest classification - combining access ...