Find definitions for IT security and compliance in our online glossary of key terms, acronyms, and vocabulary.

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Results: 88

• Term
  Definition
• dark pattern"“Dark pattern” means a user interface designed or manipulated with the substantial effect of subverting or impairing user autonomy, decisionmaking, or choice, as further defined by regulation."
• DAT (Digital Audio Tape) Used as a storage medium in some backup systems.
• Data Information stored on the computer system and used by applications to accomplish tasks. 3
• Data Administration Definition: In the NICE Framework, cybersecurity work where a person: Develops and administers databases and/or data management systems that allow for the storage, query, and utilization of data.
• Data Aggregation Definition: The process of gathering and combining data from different sources, so that the combined data reveals new information. Related Term(s): data mining
• data analytics"The analysis of data to gather substantive insights. Researchers use statistical techniques to find trends or patterns in the data, which give them a better understanding of a range of different topics. Data analytic approaches are used in many businesses and organizations to track day-to-day(...)
• Data Breach Definition: The unauthorized movement or disclosure of sensitive information to a party, usually outside the organization, that is not authorized to have or see the information. Related Term(s): data loss, data theft, exfiltration
• data cleaning"Data Cleaning is the process of identifying, correcting, or removing inaccurate or corrupt data records"
• data control"management oversight of information policies for an organization’s information; observing and reporting on how processes are working and managing issues."
• data dredging"A statistical bias in which testing huge numbers of hypotheses of a dataset may appear to yield statistical significance even when the results are statistically nonsignificant."
• data drift"The change in model input data that leads to model performance degradation."
• data-driven"Data-driven decision making (DDD) refers to the practice of basing decisions on the analysis of data rather than purely on intuition."
• data fabric"A data corpus, after the application of semantic mapping, relevant ontologies, and data seeding sufficient for artificial intelligence (AI) or machine learning algorithms to provide meaningful insight, prediction, and/or prescription."
• Data File  See File
• data fusion"A process in which data, generated by multiple sensory sources, is integrated and/or correlated to create information, knowledge, and/or intelligence that may be displayed for user or be actionable to accomplish the tasks."
• data governance"A set of processes that ensures that data assets are formally managed throughout the enterprise. A data governance model establishes authority and management and decision making parameters related to the data produced or managed by the enterprise."
• Data Integrity Definition: The property that data is complete, intact, and trusted and has not been modified or destroyed in an unauthorized or accidental manner. Related Term(s): integrity, system integrity
• Data Loss Definition: The result of unintentionally or accidentally deleting data, forgetting where it is stored, or exposure to an unauthorized party. Related Term(s): data leakage, data theft
• Data Loss Prevention Definition: A set of procedures and mechanisms to stop sensitive data from leaving a security boundary. Related Term(s): data loss, data theft, data leak
• Data Mining Definition: The process or techniques used to analyze large sets of existing information to discover previously unrevealed patterns or correlations. Related Term(s): data aggregation
• data point"a discrete unit of information."
• data poisoning"Machine learning systems trained on user-provided data are susceptible to data poisoning attacks, whereby malicious users inject false training data with the aim ofcorrupting the learned model"
• data preparation"We define data preparation as the set of preprocessing operations performed in early stages of a data processing pipeline, i.e., data transformations at the structural and syntactical levels"
• data proxy"Data that are closely related to and serve in place of data that are either unobservable or immeasurable."
• data quality"degree to which the characteristics of data satisfy stated and implied needs when used under specified conditions"

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