MCP Gateway vs MCP Proxy: What's the Difference?
MCP gateway vs MCP proxy: a proxy moves traffic, a gateway governs identity, consent, authorization, and audit. Learn when you need each for production AI agents.
MCP Governance: Controlling Third-Party MCP Tools
A practical guide to MCP governance: registries, allowlists, RBAC, and policy to safely govern third-party MCP tools and servers across the enterprise.
MCP Server Security: 8 Best Practices
MCP server security best practices: OAuth 2.1, least privilege, scope control, credential vaults, and auditing to ship production-ready AI agents safely.
What Is an MCP Gateway? Features & Benefits
Learn what an MCP gateway is, how it works, and why it's essential for securing AI agents and MCP servers at enterprise scale: features, benefits, and architecture.
Self-Hosted LLM Gateway: Open-source options and how to deploy one
Why and how to run a self-hosted LLM gateway: open-source options, deployment (Docker/Kubernetes), data control, and SaaS vs self-hosted trade-offs.
AI Gateway Security: Guardrails for LLM Traffic
A guide to the concrete controls that secure LLM and agent traffic: prompt-injection defense, PII redaction, authentication and RBAC, guardrails, and audit logging.
Prompt Injection Defense: Techniques That Actually Work
How to defend against prompt injection: input validation, prompt templating, trust boundaries, human-in-the-loop, and gateway guardrails. Practical techniques.
PII Redaction for LLMs: How to Do It Right
How to redact PII before it reaches an LLM: detection with regex and NER, gateway-level filtering of prompts and responses, and compliance with GDPR, HIPAA, and PCI. Includes a complete, end-to-end WSO2 AI Workspace tutorial.
LLM Fallback: How to Build Resilient AI Applications
What LLM fallback is and how to implement it: fallback chains, retries with backoff, and circuit breakers, to keep AI apps running through provider outages.
MCP Implementations: How to Implement MCP
A practical guide to MCP implementations: architecture, official SDKs, reference/example servers, a step-by-step build, and a hands-on walkthrough governing an existing server with WSO2 AI Workspace.
REST API to MCP Server: A Practical Guide
Learn how to turn a REST API into an MCP server: map endpoints to tools, handle auth and schemas, and avoid the auto-convert trap. Step-by-step with examples.
Semantic Caching for LLMs: Cut Cost & Latency
What semantic caching is, how it works (embeddings + similarity), and how it cuts LLM cost and latency, plus best practices and gateway-level implementation.
Govern write-capable MCP tools at the gateway in WSO2 API Platform
Secure write-capable MCP tools at the gateway using access control, scope authorization, rate limiting, and Moesif analytics.
The open, universal platform for managing every API and AI service at scale. 100% open source.