Blog

Determinism and realism are critical requirements for enterprise synthetic data. In this Q&A with Perforce Delphix expert Mayank Ahluwalia — the second blog in this series — learn why reproducibility and realistic data matter for software quality, AI-assisted development, compliance, and testing at scale. Plus, learn where synthetic data approaches often fall short and what capabilities organizations should evaluate when selecting a synthetic data solution.

Read up on data sovereignty findings — courtesy of a recent BARC report — and how data sovereignty can give you a competitive advantage.

What are the best practices for DPDP compliance in the AI era? Perforce Delphix expert Sreevatsa Sreerangaraju explains the rules and tips for India’s Digital Personal Data Protection Act.

Brazil’s LGPD is a law relating to data protection and privacy. Learn who it affects, who is exempt, and how LGPD compliance works.

Learn why protecting sensitive data is critical, especially in non-production environments, and how to mitigate risks using effective masking techniques in this blog from Ann Rosen, Director of Product Marketing for Perforce Delphix.

See how Perforce Delphix stacks up against test data competitor Tonic — including a direct comparison of capabilities like synthetic data generation and data delivery. Delphix experts Woody Evans and Vikram Kulkarni break down the key differences and benefits.

Referential integrity is a critical requirement for enterprise synthetic data. In this Q&A with Perforce Delphix expert Mayank Ahluwalia — the first blog in this series — learn why disconnected data relationships break testing, where most synthetic data tools fall short, and what capabilities organizations should evaluate to ensure synthetic and masked data work together across complex environments.