Data masking is a process of transforming sensitive data into non-sensitive data that software testing can use. This is done by replacing confidential information with fictitious data that has the same overall characteristics as the original data. Data masking is used to protect information from unauthorized access or theft. It is also used to create test data sets that capture the statistical properties of production data without revealing confidential information.

Enov8 platform uses AI to automatically profile your data and generate deterministic masking routines. This removes the need for engineers to spend months understanding and de-sensitizing data. Once generated, you can run and re-run your securitization / masking routines whenever new data arrives.

Data Validation is paramount in ensuring optimal Data Quality while supporting Compliance and Security objectives. While securing and masking data is critical for regulatory requirements like GDPR, HIPAA, and other privacy laws, the accuracy and reliability of the data are equally crucial.

Enov8 platform employs advanced machine learning techniques to validate data quality and the effectiveness of data security processes. This comprehensive approach allows you to uphold the highest Data Quality standards. By leveraging Enov8, you can be confident in the accuracy, consistency, and reliability of your data, meeting the strict compliance standards imposed by regulators. Effectively addressing data quality concerns and ensuring compliance, Enov8 optimizes the reliability and usability of your data.

Struggling to coordinate access to shared test data? Use Enov8 Test Data Booking Management to ensure the right data is available when needed while preventing conflicts across teams. Centralize data discovery and access without complex SQL or spreadsheets, and reserve datasets so they are used by one team at a time, reducing risk of overlap, corruption, and rework.

Struggling with large, complex datasets that are slow to provision and difficult to govern? Use Enov8 Data Subsetting to extract smaller, targeted data sets that retain full referential integrity and business context. Reduce data volume while preserving relationships, accelerate environment provisioning, and deliver compliant, high-quality test data without relying on full production copies.

Struggling with large datasets that delay testing and increase cost? Use Enov8 Test Data Subsetting to create lean, production-like data sets that preserve relationships and structure. Enable faster provisioning, lower infrastructure footprint, and ensure compliant, high-quality data across your test environments.

Struggling with slow, storage-heavy database provisioning? Use Enov8 DB Virtualization to create lightweight, virtual database copies that are up to 100x smaller and provisioned 100x faster. Eliminate the need for full database duplication while maintaining full data usability and integrity. Deliver environments on demand, reduce infrastructure cost, and accelerate testing without compromising quality. Learn more about Enov8 DB Virtualization VME.

Lack visibility into your test data landscape? Use Enov8 TDM Insights to deliver powerful out-of-the-box analytics and customizable information walls for stakeholders and engineers. Gain real-time visibility into data usage, coverage, compliance, and risk, enabling better decision making, improved governance, and continuous optimization across your test environments.