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.
Data governance is a framework that ensures data is managed consistently and used responsibly across an organization, balancing data quality, privacy, and compliance. It involves establishing policies, procedures, and standards to ensure data accuracy, security, and accessibility, enabling better decision-making and strategic planning.
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.
A data inventory is like a big list that helps us know what information we have and where it is kept. It makes sure we can find and use our information easily and safely.
Taxonomy management is the process of organizing and maintaining a structured classification system for data or content, allowing for efficient information retrieval and improved user experience. It involves the creation, modification, and governance of taxonomies to ensure they align with business goals and user needs, facilitating seamless navigation and content findability.
Attribute data refers to qualitative information that describes the properties, characteristics, or features of a dataset and is typically non-numeric, such as names or categories. It is essential for classification purposes and helps in organizing and analyzing datasets to derive meaningful insights or make informed decisions.
Data taxonomy refers to the structured classification and organization of data, making it easier to manage, retrieve, and analyze information within a system. By establishing a hierarchy and categories for data assets, organizations can improve consistency, enhance communication, and streamline processes across various departments.
Cross-Domain Solutions (CDS) allow for the secure transfer and sharing of information across different security domains, enabling controlled interactions between networks that vary in classification or trust level. This technology is critical in environments where maintaining data integrity and confidentiality is paramount, such as military, defense, and intelligence operations.