Gartner predicts the rise of zero-trust data governance as AI-generated data expands

Gartner has forecast that by 2028, half of organisations will adopt a zero-trust approach to data governance in response to the growing volume of unverified AI-generated data, a trend expected to reshape how enterprises manage data reliability and risk.

AI-generated data raises trust and compliance concerns.

According to the firm, organisations can no longer assume that data is human-generated or inherently trustworthy. As AI-produced content becomes increasingly difficult to distinguish from human-created material, enterprises are expected to introduce stronger authentication and verification mechanisms to protect business and financial outcomes.

Wan Fui Chan, managing vice president at Gartner, said that establishing a zero-trust posture will become essential as AI-generated data becomes pervasive across enterprise environments.

Risk of “model collapse” grows with AI adoption.

Large language models (LLMs) are typically trained on diverse datasets such as web content, books, code repositories and research papers — many of which already contain AI-generated material. Gartner ...