Perforce Software, the modern DevOps Tech Stack, announced Delphix Synthetic Data, an AI-native solution designed to generate realistic, scenario-specific test data that maintains referential integrity across enterprise systems.
According to the company, the solution automatically identifies data structures, relationships, and business context across sources, eliminating much of the manual configuration associated with legacy synthetic tools.
Developers and AI agents get immediate access to safe, high-quality data for new applications, features, and agentic workflows, especially when production data is restricted, incomplete, or unavailable.
With an AI-native approach to synthetic data, Delphix Synthetic Data uses AI to automatically scan metadata and schemas and configure synthetic data, and statistical analysis to understand data shape and distribution. Users can then describe the data they need and modify it using natural language prompts. Instead of waiting days or weeks for low-quality test data, developers, testers and agents can generate the data they need in minutes, the company said.
"Organizations need realistic test data that can be generated quickly, scale across complex environments, and meet data privacy requirements," said Jim Mercer, program vice president, software development, DevOps, and DevSecOps, IDC. "Solutions like Delphix Synthetic Data that combine AI-driven automation with data quality and control are better positioned to address that need."
Delphix Synthetic Data supports the most critical requirements for modern development and testing such as:
- Releasing software faster through easy-to-generate test data.
- Improving software quality with realistic and referentially intact data that reflects entity relationships, statistical shape and distribution.
- Ensuring data compliance and mitigating sensitive data risks by keeping sensitive data out of non-production environments.
Core Features of Delphix Synthetic Data include:
- Bring-your-own-LLM model so data never leaves an organization's infrastructure.
- Masking of customer data into an LLM.
- AI-assisted discovery and configuration.
Delphix Synthetic Data is part of the Delphix DevOps Data Platform, which combines synthetic data generation with proven data masking, data delivery, and centralized governance.
Together, these capabilities help organizations support a broader range of development and testing scenarios while maintaining consistent control over sensitive data. Developers and AI agents can access data through the user interface, APIs, and MCP-enabled workflows, enabling secure data access wherever development occurs, the company said.
"Your masked production data only tells you what already happened," said Ilker Taskaya, field CTO, Perforce Delphix. "Testing needs the cases that aren't in production yet—and it needs them to hold together across every database and file format in the environment. Delphix Synthetic Data generates data in the shape teams specify, with referential integrity intact, so agentic development isn't waiting on test data."
For more information about this news, visit www.perforce.com.