Kong Enterprise: API and AI Connectivity Platform
Kong helps platform teams and developers manage the lifecycle of APIs and AI gateways. It is designed for organizations that need to control LLM token costs and secure digital connectivity.
At a glance
- Best for
- Platform engineering teams, Software companies, Enterprise AI teams, Financial services, Healthcare providers
- Pricing
- Kong offers a 30-day free trial. Paid options include a Plus plan charged per gateway per month and an Enterprise plan with custom pricing billed annually.
- Key use cases
- AI Gateway Management, API Monetization, Federated API Governance, Hybrid Cloud Deployment
- Integrations
- Datadog, Prometheus, Splunk, GitHub Actions, GitLab CI/CD
- Official website
- Visit kong enterprise official website
Kong is a connectivity platform that provides a workspace for managing API and AI traffic. It is designed for platform teams, AI teams, and developers who need to orchestrate data flow between LLMs, MCP servers, and APIs.
The platform supports the API lifecycle, from design and testing in Kong Insomnia to runtime management. It includes tools for AI workloads, such as semantic caching and token-level observability, which may help organizations manage the costs and security of AI-driven applications.
Buyers should confirm their specific deployment needs, as the platform supports serverless, hybrid, and self-hosted configurations. Because it is a technical tool, organizations should ensure they have the engineering capacity to manage the connectivity layer.
Key Features
AI Gateway
Supports LLM access control, semantic caching, and token-based rate limiting to manage AI traffic.
API Gateway
A core engine for routing, securing, and managing synchronous and event-driven API requests.
Developer Portal
A self-service registry where developers and agents can discover and consume published APIs.
Service Catalog
Supports the discovery and inventory of internal services and API products.
Metering and Billing
Includes tools for tracking consumption and monetizing API and AI traffic.
API Observability
Provides analytics and token-level tracking for monitoring performance and cost.
Use Cases
AI Gateway Management
Managing requests to Large Language Models (LLMs) using prompt guardrails and PII sanitization.
API Monetization
Setting up entitlements and metering to charge for the consumption of digital assets and AI context.
Federated API Governance
Using automated guardrails and declarative configurations to manage APIs across multiple teams.
Hybrid Cloud Deployment
Running gateway infrastructure across multiple cloud providers or on-premises to maintain connectivity data in specific environments.
Best For
- Platform engineering teams
- Software companies
- Enterprise AI teams
- Financial services
- Healthcare providers
- Retail organizations
Integrations
- Datadog
- Prometheus
- Splunk
- GitHub Actions
- GitLab CI/CD
- Jenkins
- Terraform
- OpenTelemetry
Pricing
Kong offers a 30-day free trial. Paid options include a Plus plan charged per gateway per month and an Enterprise plan with custom pricing billed annually.
FAQ
What is the difference between the Plus and Enterprise plans?
- The Plus plan is designed for smaller companies with limits on gateways and published APIs. The Enterprise plan removes these limits and includes SSO, audit logs, and dedicated customer success management.
Does Kong support AI-specific workloads?
- Yes, it includes an AI Gateway with features such as semantic caching, token-based rate limiting, and PII sanitization for LLM requests.
Can Kong be deployed on-premises?
- Yes, the platform supports hybrid and self-hosted API gateway deployments for organizations that need to keep data in their own environment.
Source category: Software Development
Source subcategory: API Management
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Categories
Software Type
How AI is used
Kong is an API and AI connectivity platform for software companies and platform teams. It supports the governance, security, and monetization of API and LLM traffic. Buyers should note that advanced governance tools like SSO are limited to the Enterprise tier.
Pros & Cons
Pros
- Supports multiple protocols including REST, GraphQL, gRPC, and WebSockets.
- Offers deployment options including serverless, hybrid, and self-hosted.
- Includes AI-focused plugins for token control and semantic caching.
- Supports automation via declarative CLI and Kubernetes operators.
Cons
- Requires high technical proficiency for implementation and management.
- Security features such as SSO and Audit Logs are available only on the Enterprise plan.
- The Plus plan has limits on the number of gateways and published APIs.
