Two weeks ago at Google Cloud Next ’26 in Las Vegas, Google did something the enterprise AI industry has been dancing around for the better part of two years: it  made  agentic AI governance a native product feature, not an afterthought. The centrepiece announcement was the Gemini Enterprise Agent Platform, pitched as the successor to Vertex AI and described by Google as a comprehensive platform to build, scale, govern, and optimise agents. What made it notable wasn’t the model access or the TPU upgrades, significant as those are.  It was the architecture underneath: every agent built on the platform gets a unique cryptographic identity for traceability and auditing, while Agent Gateway handles oversight of interactions between agents and enterprise data. Governance, in other words, ships with the product. That design choice is a direct response to a problem that has quietly been undermining enterprise AI deployments across the board.…