sensitive data

sensitive data

[′sen·səd·iv ′dad·ə]
(computer science)
Data that can be read or processed in specified transactions by a specified program, device, or user.
References in periodicals archive ?
DataTerrain has unveiled its Data masking tool for customers who are looking to protect their sensitive data. Using DataTerrain's data masking tool, customers can mask sensitive data with ease and become compliant with various privacy laws.
However, encrypting data that is in use is the third and perhaps most difficult step to bringing about a fully encrypted lifecycle for sensitive data. According to The Linux Foundation, confidential computing "will enable encrypted data to be processed in memory without exposing it to the rest of the system and reduce exposure for sensitive data and provide greater control and transparency for users."
The first data privacy solution that can be deployed on Microsoft Azure Kubernetes Service (AKS), Integris connects directly into any on-premises or cloud-based data source, identifies where sensitive data resides, maps it back to data handling obligations, and automates remediations.
MENTIS was also one of the first company to address the complexity of data migration throughout enterprise systems by building the most comprehensive automated sensitive data discovery.
However, people are still not taking the necessary precautions to secure their online activities and sensitive data.
Summary: Jalandhar (Punjab), [India], Jan 6 (ANI): Union Minister for Law and Justice and Electronics and Information Technology Ravi Shankar Prasad said that government has planned to bring Data Protection Law to protect personal and professional sensitive data of the individuals of the country so that it cannot be misused in foreign countries by Google.
Despite sensitive data being increasingly moved to the cloud, research carried out by business continuity and disaster recovery provider, Databarracks, reveals over 60 per cent of organisations have not evaluated the continuity risks for their cloud services over the past year.
Among them, we are interested in two challenges--handling nodes update [3][4] and promising true privacy for sensitive data all over the fog layer.
- Detection of sensitive data for SAS/SPD environments.
Coupled with the fact that sharing sensitive data in the cloud has increased 53 percent YoY, those who do not adopt a cloud strategy that includes data loss protection, configuration audits and collaboration controls, will endanger the security of their most valuable asset--data--while exposing themselves to increased risk of noncompliance with internal and external regulations.
Coupled with the fact that sharing sensitive data in the cloud has increased 53 per cent year-on-year (YoY), those who do not adopt a cloud strategy that includes data loss protection, configuration audits and collaboration controls, will endanger the security of their most valuable asset-data-while exposing themselves to increased risk of noncompliance with internal and external regulations, the report said.
privacy is an increasing concern; users routinely share private or sensitive data to services without strong assurances about the privacy of their data, or control over how it is used.

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