AI Gateways and Routers
MCP proxies, LLM routers, and the outbound traffic connecting your organization to AI services are a network chokepoint most firewalls don't understand — they can't see prompt content, tool-call scope, or shadow-AI egress the way an AI-aware gateway can.
This category covers vendors building egress control, cost governance, and tool-gating purpose-built for AI traffic — the layer between your applications and every model you call.
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What AI Gateways and Routers covers
The subcategories, in practitioner terms.
AI-aware egress control
Visibility and policy enforcement over outbound calls to AI services, including shadow AI you didn't provision.
MCP gateway & tool gating
Scope enforcement over what tools an agent can reach through a gateway, not just whether it can reach them.
Traffic & leakage detection
Monitoring for anomalous AI traffic patterns and prompt or RAG content leaving through the gateway.
Compliance mappingMaps to NIST IR 8596's AI data-flow and inference-endpoint (traffic-side) concepts, the CSA AI Controls Matrix's Infrastructure Security and Interoperability & Portability domains, Google SAIF's infrastructure-hardening and egress guidance, and the OWASP LLM Top 10's unbounded-consumption risk.
Category structure adapted from the AI Defense Matrix by Lenny Zeltser and Sounil Yu, licensed CC BY-SA 4.0. For a broader view of the vendor landscape, see the AI Defense Matrix Catalog.
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