Kong AI Gateway
AI Traffic Gateway
AI Traffic Gateway
Build agents. Orchestrate context. Govern APIs, events, and data access. All in one unified API and AI platform.
Build and test agents. Connect them with intelligence and enterprise context.
Everything from API design and testing to publishing and monetization. All in one platform.
Standardize how you integrate agents and applications with real-time data streams.
Optimize token consumption, and monetize consumption of intelligence and context.
Package high-quality, high-trust digital assets for agent and developer consumption.
AI is powerful.
But unpredictable without control.
Kong is the proven API + AI platform for enterprise teams to ship faster, stay in control, and build on infrastructure they already trust.
Declarative, GitOps-driven workflows make AI rollouts more repeatable at scale. Build-for-production agentic AI.
Access controls, compliance, multi-region reliability, SLA-backed performance and token cost management? Covered.
Govern LLM, MCP, and A2A traffic with less sprawl, fewer handoffs, and a consistent operating model.
Kong's AI capabilities are not a separate bet but extend the API battle-tested infrastructure enterprises already rely on.
Kong works with the systems, tools, and cloud environments you already rely on.
As AI adoption accelerates, applications are evolving beyond basic LLM calls into complex, multi-actor systems-including user apps, agents, orchestration layers, and context servers that interact with foundation models in real time. To support this shift, developers are adopting protocols like Model Context Protocol (MCP) and Agent2Agent (A2A) to standardize how components exchange tools, data, and decisions. But infrastructure often falls behind, with challenges around authentication, rate limiting, data security, observability, and constant provider changes. AI Gateway addresses these challenges with a high-performance control plane that secures, governs, and observes AI-native systems end to end. Whether serving LLM traffic, exposing structured context via MCP, or coordinating agents through A2A, AI Gateway ensures scalable, secure, and reliable AI infrastructure.
Govern how developers, apps, and agents consume LLMs. Control everything from access, to data leakage, to token usage.
Generate MCP servers and govern how agents discover and consume them. Optimize context and implement critical auth solutions for production-ready MCP.
Roll out an agent gateway to fully govern all multi-agent traffic, with auth, observability, and auditability baked-in.
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.
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.
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.
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.
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.
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.
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.
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.
Konnect unifies and manages APIs, LLMs, events, and microservices with a single, centralized management plane, giving you consistent visibility and control across your entire API ecosystem. It uniquely combines a control plane, managed by Kong and hosted in the cloud, with the versatility of managing the data plane on your terms—either self-managed or through Kong, within your preferred network environment.
Set up self-service, secure paved roads for provisioning API and AI infrastructure for producers and self-service API and AI products for consumers.
Register and publish agent context as self-serve products in the Konnect Developer Portal and MCP registry.
Define entitlements, meter, and bill against agent context consumption for everything from the agent to the LLM to the MCP server to MCP tools.
Design automated guardrails to enforce security, observability, and reliability best practices across every instance where an agent consumes your LLMs, MCP servers, APIs, and event streams.
Connect agents with enterprise context
· Auto-discover APIs and compose endpoints into MCP tools
· Auto-generate MCP servers that leverage composed MCP tools. One-click deploy to Kong AI Gateway infrastructure.
· Design and orchestrate agentic integrations with LLMs, MCP servers, APIs, and real-time data.
Federated gateway infrastructure for the agentic era (and other technology, too)
· Provision and govern gateways for runtime infrastructure for API, AI, agent, event streaming, and microservices use cases.
· Agents can leverage the Konnect MCP server to start helping you on your agentic API platform journey.
· Set up and enforce automated guardrails that ensure consistency and compliance.
Deploy and host gateway infrastructure wherever agents run
· Keep all connectivity data locked down in your own environment with support for hybrid deployments.
· Make the move to multi-cloud with dedicated, Kong-managed infrastructure in your cloud provider and region of choice.
· Enforce encryption and PII sanitization so that no cloud environment ever sees sensitive data during API and agentic transactions.
Make the move to multi-cloud, without hosting anything yourself
· Become a multi-cloud organization without having to acquire multiple cloud provider AI and API gateway solutions.
· Use Kong-managed AI and API gateways, but choose the cloud provider and region where you want us to host them.
· KEvery gateway is set up in cloud infrastructure dedicated to your Konnect organization.
Build a self-service connectivity registry for agentic consumption and productivity
· Build a great agent experience by opening up secure, self-service access to all of the data and connectivity that AI agents will need to do their jobs well.
· For agents, build a context-rich MCP registry.
· For external agents, publish APIs and services in the Konnect Developer Portal.
Register MCP servers for enterprise governance. Publish them for agentic consumption
· Publish MCP servers in a centralized registry so that agents can discover available servers, their endpoints, and capabilities instead of relying on hardcoded configurations
· Centralize visibility into tool usage, health, and failures across MCP servers, making it easier to monitor behavior and diagnose issues
· Set up rules around only publishing and consuming approved MCP servers
Set up unified observability for API, AI, event streaming, and microservices traffic
· Execs and platform owners leverage platform-wide insights around overall API and data product consumption, LLM costs, and more.
· SREs and disaster recovery teams have what they need to understand performance and reliability metrics.
· AI teams can see agentic consumption of LLMs, token consumption per model, overall LLM performance, and more.
Enforce automated guardrails across your entire API and connectivity stack
· Automate and enforce security posture management for APIs, AI, events, and microservices.
· Automate with our Admin API, declarative decK CLI tool, Kubernetes operator, or Terraform provider. Nobody else offers the breadth and depth of automation support.
· Enforce guardrails across the entire lifecycle through design best practices, gateway policy enforcement, observability by default, and more.