# Build Agentic Infrastructure and Production-Ready AI Workflows with Kong AI Gateway.
Expose, secure, and govern LLM and MCP resources via a single, unified API platform.
## Make your AI initiatives secure, reliable, and cost-efficient
Use the same Gateway to secure, govern, and control LLM consumption from all popular AI providers, including OpenAI, Azure AI, AWS Bedrock, GCP Vertex, and more.
Track LLM usage with pre-built dashboards and AI-specific analytics to make informed decisions and implement effective policies around LLM exposure and AI project rollouts.
Save on LLM token consumption by caching responses to redundant prompts and automatically routing requests to the best model for the prompt.
Automatically generate MCP servers that are secure, reliable, performant, and cost-effective by default.
## Watch Kong AI Gateway in action
## Route and manage AI traffic at scale
Connect to any LLM provider, route requests dynamically, enforce access tiers, and keep your AI infrastructure resilient with automatic load balancing and failover.
## Secure your AI with layered guardrails
Enforce prompt templates, filter unsafe content with semantic understanding, protect sensitive data with PII stripping, and integrate with 3rd-party guardrail providers for enterprise-grade safety.
## Cut AI costs without cutting corners
Prevent budget overruns with dollar-based quotas, automatically route queries to purpose-fit models, and eliminate redundant LLM calls with semantic caching.
## The agentic era demands agentic infrastructure
Govern the entire AI lifecycle with Kong Konnect LLM and MCP infrastructure.
## 01/ Control, manage, and secure AI traffic
## Enforce advanced LLM policies
- - Make LLM traffic more efficient with semantic caching, routing, and load balancing.
- - Protect resources and ensure compliance with semantic prompt guards, PII sanitization, and more.
## 02/ Make MCP production-ready
## Solve the hardest MCP problems
- - Secure all MCP servers in one place with Kong’s dedicated MCP authentication plugin
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Capture information around the tools, workflows, prompts, etc. that comprise interactions between MCP clients and servers
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Automatically generate secure MCP servers from Kong-managed APIs using centrally defined best practices
## 03/ Simplify RAG pipelines
## Let Kong implement RAG pipelines for you
- - Automatically build RAG pipelines at the gateway layer without needing developer or AI agent intervention.
- - Consistently implement RAG pipelines at scale to ensure higher quality LLM responses and reduce hallucinations.
- - Enhance governance with the ability to easily configure and update RAG pipelines in a centralized manner.
## 04/ AI metrics and observability
## L7 observability on AI traffic for cost monitoring and tuning
- - Track AI consumption as API requests and token usage.
- - Optimize AI usage and cost with predictive consumption models.
- - Debug AI exposure via logging, tracing, and more.
## 05/ 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.
## 06/ No-code Integrations
## Accelerate AI development with no-code plugins
- - Introduce AI inside of your organization without needing to write a single line of code.
- - Easily augment, enrich, or transform API traffic using any LLM provider that Kong supports.
