AI governance shifts from checkpoint to circuit breaker The response from technology providers – and from the data centres and enterprises running their infrastructure – has been decisive. AI-driven compliance tooling is evolving from a niche procurement decision into a baseline operational requirement.
In March 2026, OneTrust announced an expansion of its governance platform to include real-time monitoring and enforcement capabilities across AI agents, models and data. The announcement, made at the Gartner Data & Analytics Summit, was notable not just for its technical scope but for how its leadership framed the underlying shift.
“ As AI becomes more embedded across the enterprise, organisations need governance that keeps pace,” said DV Lamba, Chief Product & Technology Officer at OneTrust.
“ With these new capabilities, OneTrust advances AI governance from point-intime compliance to continuous, run-time control across key data and AI platforms. This helps organisations innovate with confidence, move faster, reduce risk and maintain trust as AI scales.”
The distinction DV draws – between point-in-time compliance and continuous run-time control – is crucial for data centre operators.
Traditional compliance audits happen periodically, often quarterly or annually. But AI systems evolve continuously: models drift, new agents are deployed, data pipelines shift. The infrastructure that hosts these workloads must therefore support a compliance posture that is equally dynamic.
Static documentation and annual attestations are no longer sufficient when the technology being governed is in constant motion.
144 April 2026