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 ...

An initiative by several leading Canadian banks to develop standards for data classification has shined an unwanted spotlight on U.S. banks, which appear to be unwilling to follow suit. A working ...

Several federal financial regulators 1 (the “Agencies”) have approved an interagency final rule to establish data standards that promote interoperability of financial regulatory data (the “Final Rule” ...

Data Trends in the Legal Industry: Embracing Data Classification Standards To get actionable insights and intelligence out of your data, you need to be able to speak one language across all systems.

The University at Buffalo, (UB, university) classifies data into three risk-based categories to regulate access to, use of, and necessary precautions required to the protect university data. This ...

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 ...

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, ...