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.
How MCP server authentication works: OAuth 2.1 with PKCE, token validation, the confused-deputy problem, and delegating auth to an identity provider. With examples.
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.
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.
What semantic caching is, how it works (embeddings + similarity), and how it cuts LLM cost and latency, plus best practices and gateway-level implementation.
Secure write-capable MCP tools at the gateway using access control, scope authorization, rate limiting, and Moesif analytics.
Route every developer's Claude Code traffic through the WSO2 AI Gateway so you can track, throttle, and cap AI spend for your whole engineering org from one dashboard.