Sentence examples for data sensitivity from inspiring English sources

"data sensitivity" is a grammatically correct and commonly used phrase in written English.
It refers to the level or degree of confidentiality and protection that should be applied to data in order to prevent unauthorized access or misuse. Examples: - The company's data sensitivity policies dictate that only authorized personnel can access sensitive customer information. - Due to the high level of data sensitivity, the file-sharing platform requires users to enable two-factor authentication for added security. - The organization regularly conducts data sensitivity training for employees to ensure that they are aware of the importance of protecting sensitive data. - As a security measure, the IT department regularly performs audits to assess the data sensitivity of various systems and networks. - The new privacy regulation requires companies to take extra precautions when handling data with a high level of sensitivity.

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Data sensitivity quantifies who should have access to data items and how much harm would be done if the data was disclosed.

Specifically, Neokami's AI tech is being applied to what Christo calls "cloud data sensitivity management" — that is identifying and locating sensitive documents that are, perhaps inappropriately, stored in the cloud.

For model parameterisation, one relies on a combination of field data, sensitivity analysis and expert judgement.

Using illustrative data, sensitivity results help evaluate the neighborhood rough set technique's robustness with various reverse logistics performance factors.

The nuclear data sensitivity in 3D Monte Carlo burnup calculations of minor actinide transmutation in Energy Amplifier Systems is assessed.

The system is intended to extract certain parameters from network map, risk analysis, fault tree, user interface analysis, data sensitivity and gateways analysis.

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The concluded analytical data (sensitivities) for the studied biosensors obtained from the calibration curves are presented in Figure 9.

However, this approach yields large inaccuracies in the evaluation of data sensitivities based on the adjoint problem solution, as described in the next section.

This paper presents an inversion method based on direct integration of magnetic fields in the time domain, and using the adjoint solution for fast evaluation of data sensitivities to model perturbations.

The present paper illustrates an analysis methodology to investigate the physical mechanisms of burnup actinide composition with nuclear-data sensitivity based on the generalized depletion perturbation theory.

In multiple-dimensional or graph data, whose sensitivity is so high that it may lead to poor utility of the data, how the sensitivity of function can be reduced and the utility enhanced.

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