Perforce Expands Testing and Synthetic Data Generation Offerings
Perforce Software, the DevOps company for global teams seeking AI innovation at scale, is expanding its software testing and synthetic data offerings with the introduction of AI-powered synthetic data generation.
Delphix AI introduces a new language model embedded into the Delphix DevOps Data Platform, allowing teams to automatically deliver synthetic data across the development lifecycle, according to Perforce.
Uniting data masking, data delivery, and synthetic data generation in a single platform, and boosting it with AI, Delphix provides an enterprise-grade solution for DevOps acceleration, privacy compliance, and AI/ML model training.
With this latest release, data and analytics as well as development teams can leverage a built-in, optional AI model trained on Delphix's extensive IP in data privacy.
The result is enterprise-grade synthetic data—customizable, referentially intact, and ready for use in compliant, high-fidelity test environments, the company said.
Companies should not have to compromise on speed, security, and compliance. Perforce's approach to AI-generated synthetic data ensures organizations can:
- Protect sensitive data by replacing it with synthetic data that is tailored to unique functional needs and scenarios, such as industry and geography, while retaining realism for dev/test environments.
- Accelerate data privacy compliance and security across key large-scale use cases such as analytics, AI model training, and application development.
- Drive secure, compliant, and responsible AI-focused innovation at business speed—without investing in additional data science resources and while keeping data safe within their environment.
Perforce Intelligence, Perforce's blueprint for embedding AI across its products, is behind this new capability and will be a core part of the larger AI-powered synthetic data generation initiative to come.
"We're making AI available where it's historically been forbidden," said Steve Karam, principal product manager at Perforce. "With a fully air-gapped, in-platform small language model running on CPU only, organizations generate synthetic data inside their IT perimeter, thus harnessing AI responsibly, securely, and cost-effectively."
The company plans to add more intelligent data compliance and test data management capabilities in upcoming releases, including unstructured data discovery and automated data delivery for MLOps pipelines.
For more information about this news, visit www.perforce.com.