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AI gateways

This cluster covers everything you need to understand, evaluate, and operate an AI gateway — from what they are and how they differ from traditional API gateways, to advanced topics like semantic caching, prompt injection defense, multi-model routing, and observability. These guides help you build an AI infrastructure layer that's reliable, cost-efficient, and secure.

Articles

9 of 13 published

What Is an AI Gateway? (And Do You Need One?)

A complete introduction to AI gateways: what they do, how they differ from API gateways, and when you need one.

AI Gateway vs API Gateway

What an AI gateway adds on top of a traditional API gateway, and when you need both in your stack.

AI Gateway Comparison 2026

LiteLLM, Portkey, Kong AI Gateway, WSO2 AI Gateway, and others compared on routing, security, and observability.

AI Gateway Security

Input validation, output filtering, PII redaction, and prompt injection detection at the AI gateway layer.

LiteLLM Alternatives

Alternatives to LiteLLM for multi-model routing, evaluated on enterprise readiness, governance, and support.

Coming soon

Semantic Caching for LLM APIs

How semantic caching reduces LLM costs and latency by reusing responses to semantically similar queries.

Multi-Model Routing in AI Gateways

Cost routing, latency routing, capability routing, and fallback chains for resilient multi-model deployments.

Prompt Injection Defense

How AI gateways detect and block prompt injection attacks in user-facing LLM applications at scale.

Coming soon

PII Redaction for LLM Traffic

Automatically detecting and masking personally identifiable information before it reaches an LLM.

Token Budgets and Cost Controls

How to enforce per-user, per-app, and per-model token budgets and spend caps in your AI gateway.

Coming soon

Fallback Strategies for LLM APIs

Handling model downtime, context length errors, and rate limits with automatic fallback routing.

AI Gateway Observability

Tracing, logging, and metrics for AI gateways: what to instrument and what dashboards to build.

Coming soon

AI Gateway for Self-Hosted Models

Using an AI gateway as a unified front door for on-premise and cloud LLM deployments.

Explore WSO2's AI Gateway capabilities

WSO2 AI Gateway provides routing, rate limiting, security policies, and observability for LLM traffic across your AI services and agent deployments.

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