In an era of rapid technological advancement, standards form the backbone of secure, reliable, and fair practices across industries. Standards are essential for ensuring consistency, quality, and ...

The University at Buffalo depends on custom software to fulfill its mission. It is critical that these software systems are developed using industry best practices to ensure the University protects ...

Many businesses are turning to data center as a service providers to efficiently store and process their critical data. However, with this transition comes a new set of security considerations, and ...

AI regulation and risk governance have evolved from niche concerns to board-level priorities in under three years.

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

Employee data is more than just numbers on a spreadsheet—it represents real people who trust their employers to handle their information responsibly. As such, HR leaders must balance data-driven ...

At the request of the National Oceanic and Atmospheric Administration (NOAA) Fisheries’ Marine Recreational Information Program (MRIP), the National Academies of Sciences, Engineering, and Medicine ...