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Overview

The Internet and associated information technologies have driven unprecedented innovation, economic value, and improvement in social services. Many of these benefits are fueled by data about individuals that flow through a complex ecosystem. As a result, individuals may not be able to understand the potential consequences for their privacy as they interact with systems, products, and services. At the same time, organizations may not realize the full extent of these consequences for individuals, for society, or for their enterprises, which can affect their brands, their bottom lines, and their future prospects for growth.

To support organizations in better protecting individuals’ privacy, and to help bring privacy risk into parity with other risks such as cybersecurity and safety that organizations manage in their risk portfolios, NIST engages with stakeholders to develop privacy guidance, tools, and international standards. NIST’s Privacy Engineering Program focuses on advancing privacy practices through the application of measurement science and system engineering principles. The NIST Privacy Framework is a voluntary tool developed in collaboration with stakeholders intended to help organizations identify and manage privacy risk to build innovative products and services while protecting individuals’ privacy.

News

Silhouettes of profiled human heads with ones and zeros superimposed; in the top right corner it looks like a page is turning

NIST Releases Version 1.0 of Privacy Framework

Our data-driven society has a tricky balancing act to perform: building innovative products and services that use personal data while still protecting people’s privacy. To help organizations keep this balance, the National Institute of Standards and Technology (NIST) is offering a new tool for managing privacy risk. The agency has just released Version 1.0 of the NIST Privacy Framework: A Tool for
Two cell phones with equations on the screens

NIST Develops Privacy-Preserving ‘Encounter Metrics’ That Could Help Slow Down Future Pandemics 

Illustration shows cybersecurity images like laptops and padlocks arranged in a network.

NIST Offers ‘Quick-Start’ Guide for Its Security and Privacy Safeguards Catalog

Screenshot from video shows a map on the left and a list of personal information on the right.

NIST Crowdsourcing Challenge to De-Identify Public Safety Data Sets

Blogs

Automatic Proofs of Differential Privacy

We are excited to introduce our fourth guest author in this blog series, Chike Abuah, PhD student in computer science at the University of Vermont, whose

Testing for Differential Privacy Bugs

We are excited to introduce our third guest author in this blog series, Dan Kifer, Professor of Computer Science at Penn State. Dr. Kifer’s research spans many

Publications

Requirements Analysis of Large Policy Corpora

Author(s)
Alden A. Dima, Aaron Massey
Regulators, policy makers, and consumers are interested in proactively identifying services with acceptable or compliant data use policies, privacy policies