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VentureBeat Research: Where enterprise AI agent governance hasn't caught up
Enterprises knowingly deployed AI agents without adequate management controls. These organizations are now retrofitting to catch up and are budgeting for new vendors or additions within a year. VentureBeat Research identified five key control layers: identity, evaluation, cost telemetry, context, and orchestration. Many deployed "agents" are actually simple chatbots, not true multi-step agents requiring these controls. Two-thirds of enterprises allow agents to make production changes automatically, despite only 5% fully trusting the evaluations. Companies allowing agents to share credentials experience more security incidents. Most enterprises running their own GPUs report low utilization and struggle to track AI compute costs effectively. Confident, incorrect AI answers often stem from ungoverned or inconsistent business context. The AI agent market lacks entrenched incumbents, with significant vendor shifts expected in orchestration.