Your AI Agents Don’t Need More Trust. They Need Runtime Authority.
The dangerous word is not AI. It is authority. An AI assistant can be wrong and still be manageable. An AI agent with credentials, tools, memory, and delegated authority can be wrong at machine speed. That changes the executive question. We should stop asking whether the organization trusts an agent and start asking exactly what authority the agent has at this moment. Policies, evaluations, and pre-production reviews still matter. But once an agent can call an API, move data, approve a refund, change code, or contact a customer, governance has to enter the execution path. The control must be able to allow, pause, escalate, block, or roll back an action before the consequence becomes an incident. A new control plane is taking shape Google Cloud's emerging architecture is a useful signal: give agents first-class identities, route agent-to-agent and agent-to-tool traffic through a gateway, evaluate policy with context, and inspect interactions for prompt injection, tool poisoning, and...