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  1. What is data privacy? - IBM

    What is data privacy? Data privacy, also called "information privacy," is the principle that a person should have control over their personal data, including the ability to decide how organizations collect, …

  2. What Is Information Security? | IBM

    What is information security? Information security (InfoSec) is the protection of important information against unauthorized access, disclosure, use, alteration or disruption. It helps ensure that sensitive …

  3. Data privacy examples - IBM

    Explore common data privacy principles, practices and regulations, and learn how they translate into real-world impact on your organization.

  4. Exploring privacy issues in the age of AI - IBM

    AI arguably poses a greater data privacy risk than earlier technological advancements, but the right software solutions can address AI privacy concerns.

  5. What is personally identifiable information (PII)? - IBM

    Personally identifiable information (PII) is any information connected to a specific individual that can be used to uncover or steal that individual's identity, such as their social security number, full name, …

  6. What Is Quantum Cryptography? | IBM

    Quantum cryptography is cybersecurity methods for encrypting and transmitting secure data based on naturally occurring and immutable laws of quantum mechanics.

  7. New proposed federal data privacy law suggests big changes

    New proposed federal data privacy law suggests big changes Overview APRA replaces disparate state laws 1. Individuals harmed by data breaches can sue corporations 2. Companies are limited in the …

  8. Why safeguarding sensitive data is so crucial - IBM

    A data breach at virtual medical provider Confidant Health revealed detailed and sensitive patient information, showcasing the importance of data security.

  9. How to Build a Successful Data Protection Strategy | IBM

    While every data protection strategy is unique, below are several key components and best practices to consider when building one for your organization.

  10. Navigating the ethics of AI in cybersecurity - IBM

    The adoption of AI in information security, though essential, raises significant ethical concerns around privacy, transparency and the risk of bias.