By next year, 40% of enterprises will have their autonomous AI efforts in part derailed by gaps in governance discovered only after production incidents, a recent report from Gartner predicts. The reason is that enterprises are treating AI agent governance as binary, either locked down or fully trusted, “and that is the root cause of failure,” said report author Shiva Varma, senior director analyst at Gartner. These failures will force enterprises to demote or decommission some agents. “Agents operate at different autonomy levels and across different trust boundaries. When the same controls are applied indiscriminately, organizations encounter two common failure modes: over-restriction of simple agents, which slows delivery and drives shadow development, or under-restriction of more autonomous agents, which increases operational, security and compliance risk,” he wrote.

Full report : Gartner predicts that by 2027, governance issues will trigger 40% of enterprises to demote or decommission autonomous AI agents.