Kong Konnect

What is Kong Konnect?

Kong Konnect is a comprehensive API and connectivity management platform designed for the modern, distributed enterprise. It provides a unified control plane to manage multiple runtime types including traditional APIs, large language models (LLMs), Model Context Protocol (MCP) servers, event streams, and microservices across hybrid and multi-cloud environments. Organizations can deploy Kong Konnect with flexibility—keeping data in their own environment through hybrid deployments, leveraging Kong-managed cloud infrastructure, or self-hosting. The platform combines a cloud-managed control plane with customizable data plane options, enabling teams to enforce consistent security policies, automate governance, and maintain observability across their entire connectivity infrastructure while supporting both traditional synchronous APIs and emerging agentic workflows.

Key Features

• Unified API and Connectivity Management

  Single platform to manage APIs, LLMs, MCP servers, event streams, and microservices, eliminating the complexity of maintaining separate tools and reducing operational overhead.

• Hybrid and Multi-Cloud Deployment

  Deploy runtime infrastructure where data resides with self-managed options, Kong-managed dedicated cloud gateways, or fully cloud-hosted solutions across AWS, Azure, GCP, and private environments.

• AI Traffic Governance

  Secure, control, and optimize AI consumption with semantic caching, request routing across multiple LLM providers, token-based cost management, PII sanitization, and RAG pipeline automation at the gateway layer.

• Service Discovery and API Catalog

  Auto-inventory all APIs across the organization with comprehensive service catalog, enabling self-service discovery, documentation, and reuse for both API producers and AI agents.

• Comprehensive Security and Compliance

  Enforce authentication (OAuth, OIDC, mTLS), authorization, rate limiting, IP restrictions, and compliance policies consistently across all connectivity types with centralized policy management.

• Advanced Analytics and Observability

  Track API consumption, LLM token usage, MCP interactions, and microservices performance with real-time dashboards, distributed tracing, and OpenTelemetry integration for actionable insights.

Use Cases

• Digital Transformation and API Platform Building : Enable organizations to break down monolithic architectures into microservices and expose them as discoverable APIs through a self-service platform that accelerates deployment velocity and improves developer productivity.
• Generative AI Deployment and LLM Cost Management : Govern multi-LLM environments with centralized cost tracking, intelligent model routing, and token consumption controls while protecting sensitive data through automated PII masking and compliance enforcement.
• Agent-Ready Infrastructure : Provide secure, reliable access to MCP servers and real-time data feeds for autonomous agent workflows, with automated server generation, centralized authentication, and governance across distributed AI tool ecosystems.
• Federated API Management : Support distributed teams managing APIs independently while maintaining central governance through federated architecture, enabling business units to operate autonomously while enforcing enterprise security and compliance policies.
• Enterprise Security and Zero-Trust Architecture : Implement consistent service-to-service communication controls across complex microservices and service mesh deployments with mTLS, RBAC, and centralized policy enforcement for regulated industries.

FAQs