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Perforce Delphix launches AI-Native Synthetic Data solution. Perforce Software 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: - 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: - 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. David Marshall is the founder of VMblog.com, one of the industry's longest-running independent publications covering modern data center technologies. What began as a focus on virtualization and cloud computing has expanded to cover the full spectrum of enterprise IT, including AI, security, and DevOps, making VMblog a trusted destination for vendor news, technology analysis, and industry commentary.Beyond publishing, David has spent his career at the intersection of technology and business, inventing, marketing, and launching a number of successful software companies and products, and building a reputation as a skilled marketing executive in the enterprise IT space.David is also a published author, having written two well-regarded books on virtualization and served as technical editor for two "For Dummies" titles covering virtualization and cloud computing. He co-founded CloudCow.com, a publication focused on cloud computing, and has been named a VMware vExpert every year since 2009, one of the longest continuous honoree streaks in the program's history.Connect with David on LinkedIn: https://www.linkedin.com/in/davidmarshall/