What is PII data classification?

Name

Description of document class

Data containing information about a person's credit card.

Algorithms are used for the search, which specifically look for the number logics that characterize credit cards.

Criminal records that can be traced to a person.

The search is for the specific phrases that only appear on criminal records

Data for driving licenses that can be attributed to one or more people.

Algorithms are used for the search for the unique codes that appear on driving licenses.

In addition, a search is made for the words found on driving licenses and whether there is a picture of a person.

If the scanned data contains information about the ethnic orientation of one or more persons.

Searches are made for all existing ethnic orientations or that one comes from a certain country

If there are health cards in the scanned data, such as the health insurance card and the blue EU health insurance card.

Requirements for the search include that a social security number appears and that it is an image file.

Health cards are primarily found using OCR scanning.

Data that provide information about the health of one or more people, such as sick leave. In the search, e.g. general corona information, safety data sheet, newsletters, internal manuals etc. are excluded.

The search is for phrases that clearly indicate sick leave and a specific diagnosis, a visit to a general practitioner or the like, or medical preparations.

The criteria are that there must be both a data subject and specific health information

If the scanned data contains information about one or more persons' membership of a trade union.

A search is made for all existing trade unions in your country.

National ID that appears in the scanned data.

Algorithms are used for the search for numbers that meet criteria for being a real National ID, and keywords such as "personal identification number" and similar are searched for.

In addition to searching emails and chats, many National ID numbers are found using OCR scanning e.g. of image and PDF files.

When there are passports in the scanned data.

To get this categorization, datasets must contain an image of a person and must include the unique country codes that appear on passports.

If the scanned data contains information about one or more persons' membership of a political party or political observance.

All existing political parties in your country are searched for.

Personal data that appear in solicited or unsolicited applications, as well as in CVs.

This document class also contains rejections of job applications. Searches for phrases that are unique to job applications, whether solicited or unsolicited.

If the scanned data contains information about a person's religious orientation. Searches are made for all known religious orientations and membership of state-recognised churches.

Data that contain information about a person's salary, for example payslips and fee papers. Also information about bonus schemes is searched for. To find data in this category, search for combinations of words that only apply to payslips. In addition, phrases are searched for that appear when information is given about one or more people's salary, such as what a person's monthly salary is.

Scanned data that contains information about the sexual orientation of one or more persons. All existing sexual orientations are searched for.

Dataset with information about the termination of an employee's employment within an organization, including resignations, departures, layoffs, and more. Dataset titles that indicate resignations and words that are particularly relevant to resignations is a part of the search.

Data for employment agreements between employee and employer, whether the terms are described in documents or in a written communication. A large collection of word combinations and phrases that are unique to employment agreements between an employee and an employer is searched for. Contracts that do not relate to employment, e.g. business leases are exempt.

Each country issues a variety of official documents for purposes such as naming, marriage, birth, partnerships, and more. These documents are unique in both their type and name, serving as essential legal records for individuals within each respective nation.

These documents are found by searching for content unique to these certificates.