Autonomous AI systems depend on data governance

As AI systems become increasingly autonomous, data governance has emerged as a critical safety concern alongside model training and monitoring.

Poor data quality—including fragmentation, outdated information, and lack of oversight—can directly compromise autonomous AI system behavior and reliability.

The focus on AI safety is shifting from exclusively monitoring models to ensuring the integrity and governance of the data these systems depend on.