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Personal Identifiable Information (PII) refers to any data that can be used to identify a specific individual, either on its own or when combined with other data. Protecting PII is crucial for privacy and security, as its misuse can lead to identity theft and other forms of personal harm.
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Data privacy involves the proper handling, processing, and protection of personal information to ensure that individuals' data is not misused or accessed without consent. It is a critical aspect of digital security, focusing on safeguarding user information from breaches and ensuring compliance with legal standards like GDPR and CCPA.
Data security involves protecting digital information from unauthorized access, corruption, or theft throughout its lifecycle. It encompasses a range of practices and technologies designed to safeguard data integrity, confidentiality, and availability, ensuring that sensitive information remains protected against evolving cyber threats.
Identity theft occurs when someone unlawfully obtains and uses another person's personal data, typically for financial gain or to commit fraud. It can have severe consequences for victims, including financial loss and damage to their credit reputation.
Information sensitivity refers to the degree to which data must be protected from unauthorized access and disclosure due to its potential impact on privacy, security, or competitive advantage. Understanding the sensitivity of information is crucial for implementing appropriate data protection measures and ensuring compliance with legal and ethical standards.
Regulatory compliance involves adhering to laws, regulations, guidelines, and specifications relevant to an organization's business processes. It is essential for mitigating legal risks, ensuring ethical conduct, and maintaining operational integrity across various sectors.
A data breach is a security incident where sensitive, protected, or confidential data is accessed or disclosed without authorization. It can lead to significant financial, legal, and reputational damage for organizations, as well as privacy violations for individuals affected.
Anonymization is the process of removing personally identifiable information from data sets, ensuring individuals cannot be readily identified while maintaining the data's utility for analysis. It is crucial for protecting privacy, especially in contexts like data sharing, research, and compliance with regulations such as GDPR.
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Encryption is the process of converting information or data into a code to prevent unauthorized access, ensuring confidentiality and data integrity. It is a fundamental technology in cybersecurity, used in various applications such as securing communications, protecting sensitive data, and verifying identities.
Data minimization is a principle in data protection that advocates for limiting the collection and retention of personal data to what is strictly necessary for specific purposes. This approach reduces risks related to data breaches, enhances privacy, and ensures compliance with regulations like GDPR.
Private information refers to data or details about an individual or entity that are not publicly disclosed and are often protected by laws or regulations to ensure confidentiality and security. Understanding and managing private information are crucial for maintaining privacy rights and preventing unauthorized access or misuse.
A Privacy Policy is a legal document that outlines how an organization collects, uses, discloses, and manages a customer's data. It is essential for ensuring transparency and building trust with users while complying with data protection regulations.
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