# Govern all AI traffic. Do it with one gateway.
Govern LLM, MCP, and agent-to-agent (A2A) traffic with the same Kong AI Gateway.
## WITHOUT KONG
## Fragmented API & AI traffic
## WITH KONG
## APIs. LLMs. Agents. One platform for API and AI traffic.
## Build agents faster. Optimize token spend. Mitigate AI risks.
### LLM governance
Govern how developers, apps, and agents consume LLMs. Control everything from access, to data leakage, to token usage.
### MCP governance
Generate MCP servers and govern how agents discover and consume them. Optimize context and implement critical auth solutions for production-ready MCP.
### Agent-to-agent governance
Roll out an agent gateway to fully govern *all *multi-agent traffic, with auth, observability, and auditability baked-in.
### All in one enterprise-ready platform
Don’t settle for fragmented AI gateway solutions, and don’t settle for solutions that aren’t hardened for enterprise usage. Unify all AI traffic in one secure, resilient platform.
## Watch Kong AI Gateway in action
## Route and manage AI traffic at scale
[Watch the Video](#)Watch the Video
## Secure your AI with layered guardrails
[Watch the Video](#)Watch the Video
## Cut AI costs without cutting corners
[Watch the Video](#)Watch the Video## The agentic era demands a new kind of agentic infrastructure
Govern all generative AI and agentic AI traffic with a single gateway for LLM, MCP, and A2A connectivity.
## 01/ Control, manage, and secure gen AI traffic
## Enforce advanced LLM policies
- - Stop data leakage and avoid compliance nightmares with PII sanitization.
- - Make LLM traffic more efficient with semantic caching, routing, and load balancing.
- - Protect resources and ensure compliance with semantic prompt guards, access control, and more.
## 02/ MCP-ready. Prod-ready.
## Make MCP-powered agents a production reality
- - Automatically generate intelligent MCP tools and servers on top of Kong-managed APIs.
- - Enforce auth for MCP server access control.
- - Optimize token spend through MCP context optimization.
## 03/ Multi-agent ready
## Govern complex, multi-agent systems
- - Observe all A2A traffic and capture A2A-specific metrics.
- - Capture detailed telemetry on every A2A call, including payloads, latency, token usage, and errors.
- - Enforce centralized AuthN/Z for all A2A traffic.
- - Audit and track every A2A RPC call with information around caller identity, capabilities invoked, and more.
## 04/ Govern the rest of the AI data path, too
## Because AI traffic is more than just AI-native traffic
- - Govern how agents consume context from your API and event data estate.
- - Observe and govern the application, intelligence, and context layers – all from one platform.
- - Deliver enterprise data, events, APIs and agent-ready context.
## 05/ AI quota management
## Advanced LLM and token quota management
- - Set up user, model, and time-bound quotas around LLM consumption and token spend.
- - Enforce quotes at the gateway level.
- - Build showback and chargeback for LLM, agent, and MCP usage across the enterprise.
## 06/ AI metrics and observability
## L7 observability on AI traffic for cost monitoring and tuning
- - Track AI consumption, tool usage, token spend, and more.
- - Optimize AI usage and cost with predictive consumption models.
- - Debug AI exposure via logging, tracing, and more.
## 07/ Multi-LLM support
## Ensure every LLM use case is covered
- - Use Kong’s unified API interface to work with multiple different AI providers at the flip of a switch.
- - Seamlessly switch between AI providers to unlock new use cases and ensure high availability in the event of downtime.
