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      • Much like these personal secrets, there’s information within businesses and organizations that requires a similar level of discretion and protection. This concept, in the realm of data, is termed ‘data confidentiality. It’s about ensuring that only specific, authorized individuals can view, modify, or share this guarded information.
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  2. Dec 12, 2023 · This concept, in the realm of data, is termed ‘data confidentiality. It’s about ensuring that only specific, authorized individuals can view, modify, or share this guarded information. Understand the 3-core mechanism behind data confidentiality

  3. Confidential information refers to any data or knowledge that is shared with an individual or organization under the condition that it remains private and undisclosed. This means that the recipient of such information is legally bound to keep it confidential and cannot reveal it without the consent of the person or entity who provided it.

    • Overview
    • What is data classification?
    • What is a data classification framework?

    Sensitive data presents significant risk to a company if it is stolen, inadvertently shared, or exposed through a breach. Risk factors include reputational damage, financial impact, and loss of competitive advantage. Protecting the data and information your business manages is a top priority for your organization, but you may find it difficult to know if your efforts are truly effective, given the amount of content held by your enterprise.

    In addition to volume, your content may range in importance from highly sensitive and impactful to trivial and transient. It can also be under the purview of various regulatory compliance requirements. Knowing what to prioritize and where to apply controls can be a challenge. Read on to learn about data classification, an important tool for protecting your content from theft, sabotage, or inadvertent destruction, and how Microsoft 365 can help you meet your information security goals.

    Data classification is a specialized term used in the fields of cybersecurity and information governance to describe the process of identifying, categorizing, and protecting content according to its sensitivity or impact level. In its most basic form, data classification is a means of protecting your data from unauthorized disclosure, alteration, o...

    Often codified in a formal, enterprise-wide policy, a data classification framework (sometimes called a 'data classification policy') is typically comprised of 3-5 classification levels. These usually include three elements: a name, description, and real-world examples. Microsoft recommends no more than five top-level parent labels, each with five sub-labels (25 total) to keep the user interface (UI) manageable. Levels are typically arranged from least to most sensitive such as Public, Internal, Confidential, and Highly Confidential. Other level name variations you may encounter include Restricted, Unrestricted, and Consumer Protected. Microsoft recommends label names that are self-descriptive and that highlight their relative sensitivity clearly. For example, Confidential and Restricted may leave users guessing which label is appropriate, while Confidential and Highly Confidential are clearer on which is more sensitive.

    The following table shows an example of a Highly Confidential data classification framework level:

    Another important component of a data classification framework is the controls associated with each level. Data classification levels by themselves are simply labels (or tags) that indicate the value or sensitivity of the content. To protect that content, data classification frameworks define the controls that should be in place for each of your data classification levels. These controls may include requirements related to:

    •Storage type and location

    •Encryption

    •Access control

  4. 1 day ago · What is Considered Sensitive Information? Sensitive information encompasses any data that, if compromised, could lead to harm, loss, or unauthorized access. This includes personally identifiable information (PII), financial data, intellectual property, health records, and other confidential information.

  5. 1. Understanding Sensitive Information. 1.1 What is Sensitive Information? 1.2 The Main Categories of Sensitive Information. 2. Types of Sensitive Information and Examples. 2.1 Personal Identifiable Information (PII) and Examples. 2.2 Defining Financial Information and Examples. 2.3 Health Information Meaning and Examples.

  6. Sep 6, 2023 · Confidential data refers to private or sensitive personal data. The Information Commissioner's Office (ICO) states that this kind of data can identify an individual. It can encompass various details, from names and addresses to email accounts, bank information, and medical records.

  7. Feb 23, 2024 · Data privacy, also called information privacy, is an area of data protection that addresses the proper storage, access, retention, and security of sensitive data, which helps organizations meet regulatory requirements and protect the confidentiality and immutability of their data.

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