When AI Agents Fail, Who Owns the Fallout?

In the world of security and DevOps, AI agents are being pushed from demos into production quickly. When an AI agent fails, it can be hard to tell who made the call, why it happened, or what evidence exists to explain it. This is even more difficult in multi-agent systems, where responsibility is distributed across models, tools, orchestrators, and human operators.