Docker solves the infrastructure layer. Nobody has solved the semantic layer. Yet. Docker AI Governance ships container-level sandboxing for agents — network access controls, filesystem isolation, and MCP policy enforcement at the infrastructure boundary. It's a real product solving a real problem. Applaud it. But here's what
Most security middleware is monolithic. One rule engine. One processing unit. One failure domain. When the rule engine is slow, everything slows. When it crashes, everything stops. When a new threat category emerges, the entire engine needs to be modified, tested, and redeployed. This is the wrong model for LLM
The firewall model is intuitive: inspect the request, apply rules, allow or block. It works for network traffic. It works for web application firewalls. It fails completely for LLM security — and the failure is architectural, not a matter of rule quality. Here is why. The attack surface is the session,
API gateways are not new. Kong, AWS API Gateway, Apigee, NGINX — the category is mature, well-understood, and battle-tested at scale. So when enterprises begin routing LLM traffic, the instinct is obvious: drop it behind the existing gateway, add a rate limit, call it a day. That instinct is wrong. And