Examples of using Data masking in English and their translations into German
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Colloquial
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Official
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Ecclesiastic
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Medicine
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Financial
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Ecclesiastic
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Political
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Computer
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Programming
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Official/political
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Political
High performance and nonintrusive Dynamic and persistent data masking.
Dynamic Data Masking also lets you.
The main features of the standard mechanisms for Libelle Data Masking are for example.
Libelle Data Masking supports both SAP® systems and non-SAP systems.
Test Data Privacy also provides developers with data masking techniques.
Role-based security and data masking to maintain patient privacy.
Dynamic Data Masking is a feature that has been available for all editions ever since the release of SQL Server 2016.
To improve data-access security, Informatica provides intelligent data masking to manage and/govern your APIs.
Libelle Data Masking(LDM) enables to automate and optimize the anonymization of data. .
Today, Informatica offers the ability for organizations to discover sensitive data in Hive anddo advanced masking for Hadoop via dynamic data masking for Hive.
Dynamic data masking delivers high-throughput and low-latency performance that doesn't impact user experience.
Secure business-critical data with dynamic data masking to ensure that only the right people gain access to data. .
Dynamic data masking delivers high-throughput and low-latency performance that doesn't impact user experience.
They boast a multitude of security features such as the observance of compliance guidelines, monitoring, row-level security,dynamic data masking and transparent data encryption.
Nonintrusive data masking supports heterogeneous environments without the need to modify applications or data. .
The new offering enables companies to design andoperationalize data controls across data pipelines using metadata management, data masking, data quality, data services, stewardship and governance.
Persistent data masking can scale to mask terabytes of data for large test, outsourcing, or analytic projects.
Floor Plan Imperva Camouflage is a data masking solution that will reduce your risk profile by replacing sensitive data with realistic fictional data. .
Libelle Data Masking(LDM) allows exactly this type of anonymization of critical data in non-productive systems, taking into account logical relationships.
For this purpose,Libelle AG also offers Libelle Data Masking(LDM), a tool that anonymizes data on non-productive systems and system landscapes on a logical level.
With data masking, you can mask sensitive data in your sandboxes, eliminating the risk of exposure and non-compliance.
 Anonymization, pseudonymization and Data Masking eLabour provides scientists access to a large inventory of research data from previously conducted studs.
For persistent data masking, Informatica's proven platform can scale to meet the requirements of organizations that need to mask large data stores.
Role-based masking: Dynamic data masking accommodates data security and privacy policies that vary depending on users' locations.
Imperva Camouflage is a data masking solution that will reduce your risk profile by replacing sensitive data with realistic fictional data. .
The usability of Dynamic Data Masking for the restriction of access by end users of a data warehouse is highly dependent on the architecture selected.
Based on role and location, dynamic data masking accommodates data security and privacy policies that vary based on users' locations e.g., accessing data in the U. S.
Similar to the assessment regarding Dynamic Data Masking and Row Level Security, the sensibility of using Always Encrypted in a data warehouse scenario is highly dependent on the architecture selected.
By combining persistent and dynamic data masking with traditional data security controls(such as encryption and tokenization), organizations can provide complete coverage for businesses' data security needs.
Data masks, over which a field definition with the restriction of the content of certain character types.