Overview
What is Yash Solutions Data Masking?
Data Masking is a solution offered by Yash Solutions LLC that aims to protect sensitive data while providing a functional substitute for situations where real data is unnecessary. This product is designed for small to large-sized companies and is commonly used by IT professionals, software developers,...
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What is Yash Solutions Data Masking?
Data Masking is a solution offered by Yash Solutions LLC that aims to protect sensitive data while providing a functional substitute for situations where real data is unnecessary. This product is designed for small to large-sized companies and is commonly used by IT professionals, software developers, data analysts, quality assurance/testers, and the healthcare industry. According to the vendor, Yash Solutions' dynamic and static data masking capabilities ensure data security, compliance, and accurate data management across various industries and professions.
Key Features
Data Masking: Yash Solutions Data Masking enables the creation of structurally similar but inauthentic versions of an organization's data, serving the purpose of data protection while providing functional substitutes for software testing and other purposes.
Static Data Masking: Yash Solutions offers static data masking (SDM) to protect data in scenarios such as application development, testing, data publishing, sharing, and business intelligence. SDM deidentifies data for exchange or publication, preventing unauthorized access to sensitive information.
Dynamic Data Masking: Yash Solutions provides dynamic data masking (DDM) to protect stored production data consumed by business application users. DDM is suitable when only authorized users need to see actual data or if regulations restrict the use of static data masking.
Speed: According to the vendor, Yash Solutions' data masking solution aims to reduce the risk of data breaches and facilitate efficient testing and development tasks, allowing developers to work with accurate data without re-engineering or identifying the original values.
Boundaries: Yash Solutions offers both dynamic and static data masking to control access to sensitive information, ensuring it remains unavailable beyond the permitted production environment. The vendor claims that this feature helps maintain data security, compliance, and privacy.
Accurate Data: According to the vendor, Yash Solutions' data masking solution allows developers to work with accurate data without compromising data security. It provides synthetic data that is structurally similar to the original data, enabling effective testing and development tasks.
Real-time: Yash Solutions offers both dynamic and static data masking capabilities. According to the vendor, dynamic data masking provides "on the fly" real-time data masking of production data, while static data masking protects specific data elements at rest, such as database column or flat-file field values.
Test Data Management: The vendor claims that Yash Solutions' data masking is essential for test data management, enabling businesses to work with representative data in development and test environments without exposing real data. It supports the transition to new operational processes like DevOps, Agile, and Waterfall by ensuring the continuous delivery of quality data while reducing risk.
Compliance: According to the vendor, Yash Solutions' data masking solution helps organizations meet compliance requirements such as PCI-DSS, HIPAA, GPDR, PII, PHI, ITAR, and EAR. It protects data from abuse, fraud, and maintains privacy, supporting consistent policies across various scenarios, applications, and platforms.
Database Protection: Yash Solutions' data masking aims to help protect sensitive data within production environments, mitigating the risk of data breaches. The vendor claims that it safeguards against threats from internal and external sources, minimizing sensitive data exposure while enabling smooth business processes.
Yash Solutions Data Masking Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |