Reviews for 'Application Development, Integration and Management - Others'
Data masking is based on the premise that sensitive data can be transformed into less sensitive but still useful data. This is necessary to satisfy application testing use cases that require representative and coherent data, as well as analytics that involve the use of aggregate data for scoring, model building and statistical reporting. The market for data protection, DM included, continues to evolve with technologies designed to redact, anonymize, pseudonymize, or in some way deidentify data in order to protect it against confidentiality or privacy risk.
Infrastructure monitoring tools capture the health and resource utilization of IT infrastructure components, no matter where they reside (e.g., in a data center, at the edge, infrastructure as a service [IaaS] or platform as a service [PaaS] in the cloud). This enables I&O leaders to monitor and collate the availability and resource utilization data of physical and virtual entities — including servers, containers, network devices, database instances, hypervisors and storage. These tools collect data in real time and perform historical data analysis or trending of the elements they monitor.
Test Data Management (TDM) is the process of provisioning data for development and testing in preproduction environments. It ensures efficient, high-quality datasets while safeguarding data privacy and sensitive corporate information to meet compliance and security requirements. Modern TDM solutions leverage synthetic data generation, alongside data subsetting and masking techniques, to provide realistic yet secure test data. These solutions are widely used by software developers, QA engineers, data analysts, and IT security teams to optimize testing, maintain regulatory compliance, and enhance application reliability.