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Engineering insights, tutorials, and updates from the WSO2 API Platform team.
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API best practices & fundamentals
REST API design, authentication, versioning, error handling, and the foundational patterns every API developer needs.
API tools, management & gateways
Buyer's guides, head-to-head comparisons, and deep dives on API management platforms, gateways, and tooling.
AI gateways
What AI gateways are, how they work, and how to use them for routing, caching, and governance of LLM traffic.
API governance
Frameworks, tools, and best practices for governing APIs at scale — from design linting to lifecycle management and compliance.
Latest articles
37 articlesWhat 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.
What Is an AI Gateway? Features, Benefits and How It Works
Learn what an AI gateway is, how it works, and how it differs from an API gateway: multi-model routing, token cost control, guardrails, and observability for LLM traffic.
AI Gateway Comparison: Top Solutions in 2026
A side-by-side comparison of the leading AI gateways in 2026 — WSO2, Kong, Portkey, LiteLLM, Cloudflare, and Helicone — across deployment, cost control, security, and observability.
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.
AI Gateway vs API Gateway: Key Differences
A side-by-side breakdown of how AI gateways and API gateways differ, where they overlap, and how to decide where each one belongs in your stack.
AI Gateway Observability: Key Metrics, Logging, and Tracing for LLM Traffic
What AI gateway observability is, the key metrics to track (tokens, cost, latency, errors), and how logging, tracing, and OpenTelemetry fit in.
Best LiteLLM Alternatives in 2026
Compare the best LiteLLM alternatives in 2026 on routing, governance, security, and deployment after the LiteLLM supply-chain attack.
LLM Cost Control: Strategies to Cut AI Spend
How to control LLM costs with token tracking, budgets, caching, model routing, and prompt optimization, and why a gateway is the best place to enforce it.
LLM Routing: How It Works, Strategies, and Why It Matters
What LLM routing is, static vs dynamic vs model-aware strategies, and how routing cuts LLM cost and improves reliability at the gateway layer.
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.
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