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Personal data, also known as personal information or personally identifiable information (PII), [1] [2] [3] is any information related to an identifiable person. The abbreviation PII is widely used in the United States , but the phrase it abbreviates has four common variants based on personal or personally , and identifiable or identifying .
Personal Identifiers (PID) are a subset of personally identifiable information (PII) data elements, which identify an individual and can permit another person to "assume" that individual's identity without their knowledge or consent. [1] PIIs include direct identifiers (name, social security number) and indirect identifiers (race, ethnicity ...
The gathering of personally identifiable information (PII) refers to the collection of public and private personal data that can be used to identify individuals for various purposes, both legal and illegal. PII gathering is often seen as a privacy threat by data owners, while entities such as technology companies, governments, and organizations ...
Information privacy is the relationship between the collection and dissemination of data, technology, the public expectation of privacy, contextual information norms, and the legal and political issues surrounding them. [1] It is also known as data privacy [2] [3] or data protection.
Examples of PII are: insurance ID, email address, phone number, IP address, geolocation, biometric data. [11] Non-personally identifiable information (non-PII) is information that can't be used to identify a person or to track a location. A cookie or a device ID is an example of non-PII.
Tokenization may be used to safeguard sensitive data involving, for example, bank accounts, financial statements, medical records, criminal records, driver's licenses, loan applications, stock trades, voter registrations, and other types of personally identifiable information (PII). Tokenization is often used in credit card processing.
Before the Schrems II ruling, pseudonymization was a technique used by security experts or government officials to hide personally identifiable information to maintain data structure and privacy of information. Some common examples of sensitive information include postal code, location of individuals, names of individuals, race and gender, etc.
The objective of PETs is to protect personal data and assure technology users of two key privacy points: their own information is kept confidential, and management of data protection is a priority to the organizations who hold responsibility for any PII.
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