Deployment Planning
Deployment Planning: A phase in change management that entails designing a detailed strategy for how changes will be executed in the live environment. This involves determining the sequence and timing of changes, identifying required resources, outlining contingency plans for possible failure, and assessing potential impact on users and operations. Effective deployment planning ensures that changes […]
Depreciation
Depreciation: The accounting method of allocating the cost of a tangible asset over its useful life. It reflects the usage, wear and tear, or obsolescence of the asset. Depreciation helps companies earn revenue from an asset while expensing part of its cost each year the asset is in use. This process affects the value of […]
Deterrent
Deterrent: Measures taken to discourage or dissuade unwanted actions or behaviors, especially related to malicious activities. By imposing severe consequences or risks, deterrents aim to make the cost of carrying out harmful actions, such as unauthorized access or data breaches, outweigh any potential benefits. Examples include security awareness training to deter internal staff from unsafe […]
Deviations from Baselines
Deviations from Baselines: Deviations from Baselines refer to any variances observed from the expected or established standards (baselines) within IT and cybersecurity practices. These deviations might signal a range of issues, from system performance degradation to a potential security incident. Constant monitoring for such deviations is essential for timely identification and remediation to ensure system […]
Default classification
Default classification: Default classification refers to the security level automatically applied to data or information in the absence of a specific classification label. While it can be the most restrictive, this is not always the case; the default level is determined by an organization’s policy and could potentially be open or public if the data […]
Deidentification
Deidentification: A process where personally identifiable information (PII) is removed or anonymized from a dataset. The aim is to protect the privacy of individuals by ensuring that the data cannot be traced back to them. This technique is often used in data analytics and research, where large volumes of data are needed, but the identification […]