Powered by secure, performant, and cost-effective agentic infrastructure. Lower costs, secure, and govern the assets that drive agentic workforces and agentic workflows.

Agentic workflows are becoming a core part of enterprise operations — but scaling them safely and efficiently involves several cross-cutting concerns across security, governance, observability, cost control, and much more.

Kong provides the infrastructure layer to ensure your agentic workflows are production-ready.

### Enable intelligent decision making

Provide AI agents with secure access to the APIs and context needed to make informed decisions around challenges specific to your business.

### Open up access to “agent fuel”

Expose everything from REST APIs to LLMs to real-time data and event streams to agents and AI coding assistants — all from a single, unified platform.

### Unify your AI governance posture

Control and govern how all API, LLM, and data is accessed by LLMs, MCP servers, and agents, and AI coding tools from a single platform.

AI agents need to access different LLMs for specific use cases. Kong AI Gateway provides a universal API interface to simplify agent interaction with diverse LLMs and AI providers.

Automatically generate MCP servers for Konnect-managed APIs, LLMs, and event data. Ensure server creation follows best practices by offloading creation to the Gateway and leveraging APIOps for consistent policy enforcement.

[Learn more](https://konghq.com/products/kong-ai-gateway)Learn more

Finally squash the enterprise MCP security concerns with OAuth 2.0 MCP server resource mediation and integration with third-party IDPs.

Configure your AI coding tools to consume the Developer Portal MCP server and deliver seamless, secure API access for agentic development workflows.

[Learn more](https://konghq.com/products/kong-konnect/features/developer-portal)Learn more

Make MCP a secure, effective option for your business by enforcing consistent MCP server generation, server access, downstream tool calling and authorization, and observability access for every MCP and LLM interaction.

Track AI agent usage via pre-built dashboards and AI-specific analytics. Secure AI agent interactions with out-of-the-box PII sanitization, prompt firewalls, and robust authentication policies.

Monitor LLM token usage per consumer, enforce global and model-specific token policies, and protect against cost overruns — turning AI traffic into something you can govern, scale, and predict.