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 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 ...

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 ...

The Financial Data Transparency Act (FDTA), passed as part of the National Defense Authorization Act for fiscal year 2023, aims to enhance the interoperability of financial regulatory data across nine ...

The Storage Networking Industry Association expects to release by the middle of 2005 a standard for classifying data in order to store it according to its business importance. In October, the SNIA ...

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 vision of what broad adoption of global data standards could do for improving the efficacy of our healthcare system isn’t new, nor are efforts to achieve it. The Department of Defense first sought ...

The State University of New York College of Environmental Science and Forestry (SUNY ESF) strives to establish an essential framework for the necessary control and enforcement mechanisms of ...

The University at Buffalo (UB, university) has legal and ethical obligations to ensure that all forms of university data are adequately secured to minimize the risk of unauthorized use or disclosure.