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Perforce Delphix Launches AI-Native Synthetic Data Solution


News provided by

Perforce Software

Sep 22, 2026, 09:00 ET

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Research from the 2026 State of Synthetic Data Survey.
Research from the 2026 State of Synthetic Data Survey.
Perforce Software (PRNewsFoto/Perforce Software)
Perforce Software (PRNewsFoto/Perforce Software)

Enterprise development teams and AI agents can now generate realistic, referentially intact test data on demand, eliminating data bottlenecks that slow modern software delivery.

MINNEAPOLIS, Sept. 22, 2026 /PRNewswire/ -- Perforce Software, the modern DevOps Tech Stack that ensures AI governance, announced Delphix Synthetic Data, the first AI‑native solution designed to generate realistic, scenario‑specific test data that maintains referential integrity across enterprise systems.

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.

Why Synthetic Data Generation Needs an AI-Native Approach

Synthetic data has rapidly become essential for enterprise software delivery. As organizations adopt AI-assisted and agentic development, synthetic data allows teams to generate data when production data doesn't exist. They can use this data to help develop new applications, features, and test unique edge cases.

However, legacy synthetic tools require heavy manual configuration and often fail to deliver the realism and referential integrity enterprise teams need to deliver high-quality software.

Research from a 2026 Perforce survey of 518 enterprise technology leaders revealed a significant gap between the needs of enterprise development teams and the capabilities of existing synthetic data solutions. A key finding:

  • Among those who evaluated existing solutions, only 34% said synthetic data provides referential integrity, and only 36% said it provides data realism, capabilities that are essential for enterprise development, testing, and agentic workflows.

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.

"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."

"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."

Core Outcomes for Enterprise Teams

Delphix Synthetic Data supports the most critical requirements for modern development and testing:

  1. Releasing software faster through easy-to-generate test data.
  2. Improving software quality with realistic and referentially intact data that reflects entity relationships, statistical shape and distribution.
  3. Ensuring data compliance and mitigating sensitive data risks by keeping sensitive data out of non-production environments.

Core Features of Delphix Synthetic Data:

  • 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. Learn more about the Delhpix DevOps Data Platform here.

Resources

  • Learn more about Delphix Synthetic Data 
  • Access the report: The Synthetic Data Market Gap: Findings from our 2026 Survey
  • Follow Perforce on LinkedIn

About Perforce 

Perforce delivers a DevOps Tech Stack for teams building and running high-stakes software systems and revenue-critical applications, where failure is not an option. As a trusted partner helping organizations govern software delivery for AI, Perforce solutions enforce guardrails across code, quality, infrastructure, and data—enabling innovation without introducing risk. With customers in over 80 countries—including more than 75% of the Fortune 100 and 50% of the Global 500—Perforce is trusted by the world's most innovative teams to build, test, secure, and deliver critical software at scale. 

Media Contacts 

PERFORCE GLOBAL 
Maxine Ambrose 
Ambrose Communications 
Ph: +44 118 324 1040
[email protected]

SOURCE Perforce Software

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