How does Generative AI help in test data generation?

H2K Infosys explains how generative AI is changing test data generation in ways that honestly save QA teams a huge amount of time. Instead of manually creating endless datasets, AI models can generate realistic, diverse, and privacy-safe test scenarios within minutes. I’ve seen teams struggle with edge cases for months, and tools powered by generative AI suddenly uncover issues nobody expected. With AI in software testing becoming more practical in 2026, companies now use synthetic data to improve automation accuracy, security testing, and regression coverage. The biggest advantage? Faster releases without compromising quality, which is something every modern DevOps team is chasing right now.