What are the three types of sensitive information?

What are the three types of sensitive information?

The three main types of sensitive information that exist are: personal information, business information and classified information.

What is included in sensitive information?

Sensitive information is data that must be protected from unauthorized access to safeguard the privacy or security of an individual or organization. Such information includes trade secrets, acquisition plans, financial data and supplier and customer information, among other possibilities. …

What is the most sensitive information?

Social security numbers are considered to be the most sensitive piece of personal information—by far. A full 90% of adults feel as though their social security number is a “very sensitive” piece of information, and this view is broadly held across all demographic groups.

What are five types of sensitive data?

Personal sensitive data generally consists of information such as:

• An individual political opinion or party affiliation.
• Individual religious beliefs.
• Trade union.
• An individual sexual life/sexual preferences.
• Racial and ethnicity.
• Genetic data.
• Online biometric data such as fingerprints and pictures.
• Health data.

What are examples of sensitive data?

Sensitive data examples:

• Racial or ethnic origin.
• Political beliefs.
• Religious beliefs.
• Genetic or biometric data.
• Mental health or sexual health.
• Sexual orientation.
• Trade union membership.

What are some examples of sensitive information?

In general, sensitive data is any data that reveals:

• Racial or ethnic origin.
• Political opinion.
• Religious or philosophical beliefs.
• Trade union membership.
• Genetic data.
• Biometric data.
• Health data.
• Sex life or sexual orientation.

What are sensitive information types?

A sensitive information type is defined by a pattern that can be identified by a regular expression or a function. Corroborative evidence such as keywords and checksums can be used to identify a sensitive information type. Confidence level and proximity are also used in the evaluation process.

What are examples of sensitive information?

What are the types of sensitive data?

Sensitive data is any data that reveals:

• Racial or ethnic origin.
• Political opinions.
• Religious or philosophical beliefs.
• Trade union membership.
• Genetic data.
• Biometric data for the purpose of uniquely identifying a natural person.
• Data concerning health or a natural person’s sex life and/or sexual orientation.

What is sensitive data in research?

The term ‘sensitive data’ is used to refer to data relating to people, animal or plant species, data generated or used under a restrictive commercial research funding agreement, and any data likely to have significant negative public impact if released.

What are sensitive data GDPR?

Sensitive data, or special category data, according to GDPR is any data that reveals a subject’s information. Sensitive data examples: Racial or ethnic origin. Political beliefs. Religious beliefs.

What types of data are sensitive data?

What does it mean to have sensitive data?

Sensitive data is information that must be protected against unauthorized access. Access to sensitive data should be limited through sufficient data security and information security practices designed to prevent unauthorized disclosure and data breaches.

How to determine how sensitive information should be classified?

To determine how sensitive specific is and how it should be classified, think about the confidentiality, integrity and availability (CIA triad) of that information and how it would impact your organization or its customers if it was exposed.

Which is the first step in protecting sensitive data?

The first step in protecting sensitive data is data classification. Depending on data sensitivity, there are different levels of protection required. The key thing to understand is that not all data is equal and it is best to focus your data protection efforts on protecting sensitive data as defined above.

Why is it important to protect sensitive information?

Countermeasures that prevent unauthorized access to sensitive information, while ensuring the right people can still access it, are concerned with confidentiality.

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