K2view Synthetic Data Generation

What K2view Synthetic Data Generation is

K2view Synthetic Data Generation creates data for software testing, analytics, and AI using AI generation, configurable rules, cloning, and masking. Its AI method trains on masked production data and can apply business rules after generation; rule-based generation can create targeted edge and negative test data without production data. The entity data model preserves relationships and referential integrity across connected systems, while cloned entity datasets receive unique IDs. Intelligent masking can identify and classify personally identifiable information in structured and unstructured sources and apply masking functions. A data agent can read test cases, select generation methods, and provision results to a downstream environment. K2view lists connectors for databases, mainframes, flat files, data lakes, and other sources, plus delivery through ETL, virtualization, streaming, change logs, messaging, and APIs. Deployment options include self-hosted, managed on-premises or cloud, and K2view-managed SaaS. Its support documentation says AI-based synthetic generation supports only one logical unit schema.