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, ...

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 ...

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 ...

Protection of Category 1 – Restricted Data is required by law or regulation. The loss of confidentiality, integrity, or availability of the data or system could have a significant adverse impact on ...

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 ...

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 ...

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 ...

It's not just a mess -- it's a security risk, a compliance hazard, and a missed opportunity. That was the message from data evangelist Karen Lopez during the June 27 session of the "How To Take ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.