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.
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.
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.