"NIST Issues Guidance on a Mathematical Approach to Data Privacy"

The National Institute of Standards and Technology (NIST) recently released new draft guidance to clarify how organizations can use differential privacy as part of their security infrastructure. Differential privacy is a mathematical algorithm used to quantify how much privacy risk is posed to individuals from a given dataset. According to NIST's guidance, differential privacy can be applied to evaluate an organization's digital privacy posture using a framework that identifies existing factors to potential data security breaches. The NIST guidance aims to help organizations strike a balance "between privacy and accuracy." Using differential privacy, the data can be made public without disclosing the identities of the individuals in the dataset. This article continues to discuss the draft document that provides a system for adopting a differential privacy framework.

NextGov reports "NIST Issues Guidance on a Mathematical Approach to Data Privacy"

Submitted by grigby1