Build a decision on evidence.

An LLM firewall inspects AI traffic and applies controls around the context exchanged with model providers. Milgram adds session reconstruction, threat detection, policy enforcement, and deterministic compression at that boundary. Its coverage depends on the traffic routed through it.

A provider’s safety behavior operates within that provider’s model and service. An enterprise traffic layer can provide organization-specific policies and session evidence across supported provider integrations. Both remain part of a broader control system.

A single tool result or request may be benign on its own. Session context connects it to the assigned task, earlier signals, and later actions. That can reveal escalation or drift that is difficult to assess message by message.

Yes, through a permissioned interface such as Milgram’s MCP connection. A customer-controlled AI can investigate evidence, draft or adapt rules, and correct false positives. Those changes still need validation and a controlled rollout.