The next phase of AI isn’t just about models. It’s about agents becoming operational. AI agents are moving from experimentation into enterprise infrastructure and operations, and organizations are now trying to figure out how to govern, secure and operationalize them. Agents are moving into real working roles, becoming embedded in workflows rather than remaining limited to demos. This shift is causing enterprises to become more cautious as they try to balance risk and reward, with many organizations eager to use AI but unprepared for the security and governance challenges it entails.

Full report : As agents move past demos and into enterprise workflows, organizations are confronting the governance, infrastructure and operational problems posed by more autonomous AI systems.