Redgate finds database governance lagging AI rollout

Redgate found that 77% of organisations scaling AI in database management do not use formal data governance or quality frameworks, highlighting a widening control gap as adoption accelerates. Enterprise use of AI for database management rose to 44% from 15% a year earlier, based on responses from 2,150 IT professionals globally.

Spending is also moving beyond pilot projects. Redgate said 44% of organisations spent more than USD $100,000 on database AI over the past year, while nearly a quarter of large enterprises spent more than USD $1 million. Yet only 23% of firms said they had formal frameworks for data governance or quality in these environments, leaving many deployments exposed to issues around data quality, security and change control.

Risk tolerance is rising alongside complexity. Redgate found that 58% of organisations explicitly accept higher data security risks for efficiency gains, 36% manage four or more database platforms, and 39% still rely on manual methods to test and deploy database changes. Almost all respondents, 99%, reported operational benefits, led by task automation at 63% and performance optimisation at 60%.