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 ...

All college data are classified into levels of sensitivity to provide a basis for understanding and managing college data. Accurate classification provides the basis to apply an appropriate level of ...

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 ...

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 ...

TEL AVIV, Israel--(BUSINESS WIRE)--In a revolutionary move, Flow has designed data classification powered by Large Language Models (LLMs). With a focus on unstructured data, this technology can ...

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.

To ensure a common understanding, Harvard uses a 5-step scale for data sensitivity. The higher the number, the more sensitive the data is, and the stronger protections you need to take when accessing ...

As FTC Chair Andrew Ferguson establishes his enforcement priorities, his positions on data categorization and surveillance pricing reveal a consistent philosophy that balances privacy protection with ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Krishna Narayanaswarmy in ...