National Institute of Standards and Technology (NIST)

Some privacy statutes explicitly reference “sensitive” or “special” categories of personal information. While such terms, when used, often include similar data types that are generally considered as raising greater privacy risks to data subjects if disclosed, the exact categories that fall under those rubrics differ between and among statutes. Furthermore, other privacy statutes do not

The NIST privacy framework refers to the term “current profile” to describe the current state of a company’s privacy program in relation to a specific Subcategory. So, for example, a company might include the following description in its current profile for the following subcategory:

Subcategory Current Profile
ID.IM-P1: Systems/products/services that process data are inventoried. The

The NIST privacy framework refers to the term “core” to describe a set of privacy activities and outcomes. The core is composed of three nested levels: Function, Category, and Subcategory.  Categories are intended to be subdivisions of the Functions, and groupings of the Subcategories. In total, the NIST privacy framework contains 18 Categories.

The NIST privacy framework refers to the term “core” to describe a set of privacy activities and outcomes. The core is composed of three nested levels: Function, Category, and Subcategory. So, for example, the concept that a data subject should have the right to access their personal information is found within NIST under the Core

In 2020, the National Institute of Standards and Technology, a part of the United States Department of Commerce, developed a privacy framework that was intended to help organizations identify and manage privacy risks. Like the ISO 29100 privacy framework that predated it, the NIST privacy framework is designed to provide common terminology to communicate privacy-related

There are few published statistics regarding the adoption rate of privacy frameworks. The statistics that do exist have questionable reliability, primarily owing to sampling bias and self-reporting bias. For example, studies that ask clients of an organization that creates a privacy framework whether they adopted the privacy framework are likely to overreport adoption rates, as