Synthetic data moves from “nice-to-have” to operating layer across health, governance, and security

Across five new pieces, synthetic data is being positioned as a practical mechanism to unlock AI development where real data is restricted—especially in healthcare, cybersecurity, and LLM training. The focus is shifting toward validation, governance, and task-specific utility rather than generation alone.