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Deploy an MCP server through WSO2 Platform AI Gateway in a few commands — running entirely on your own infrastructure. This quickstart shows you how to set up MCP proxies on WSO2 Platform AI Gateway as a standalone component via Docker. You'll start a sample MCP server, deploy it as an MCP proxy configuration to the gateway, and verify it using the official Model Context Protocol Inspector. What you'll cover.

This video shows how the WSO2 solution helps businesses follow the rules of India's Digital Personal Data Protection (DPDP) Act. You will see how the system handles user consent in a simple way to keep your business compliant with the new regulations.

Run your first LLM proxy on WSO2 Platform AI Gateway in minutes — no cloud setup required, just Docker. This quickstart walks you through spinning up the WSO2 Platform AI Gateway as a standalone component on your own infrastructure. You'll add an OpenAI provider configuration (including API key auth and access control rules), deploy an LLM proxy that routes through it, and verify live responses end to end. What you'll set up.

AI agents that never sleep are changing how businesses make decisions. Here's the full WSO2Con keynote on what that shift means for your organization. In this opening keynote from WSO2Con, the CEO walks through the transition from the digital era to what he calls the "agentic era" — where autonomous agents handle judgment calls across sales, marketing, and support. He's direct about the risks too: agents lack empathy, can make costly errors, and still need guardrails to operate safely at scale.

Dr. Sanjiva Weerawarana explains why rolling out AI agents in non-technical domains like legal or finance is much harder than using well-established developer tools like Copilot. Why AI pilots don’t scale without serious architectural foundations and a real strategy.

As AI agents begin interacting with APIs, traditional API governance models need to evolve. In this DeveloperWeek session, Derric Gilling (WSO2) explains how organizations can manage and secure agent-driven API consumption using the Model Context Protocol (MCP). Unlike human applications, AI agents can generate large volumes of API calls from a single prompt. Without proper controls, this can lead to unexpected costs, security risks, and limited visibility into how APIs are being used.

In this episode, *Dr. Sanjiva Weerawarana* and *Asanka Abeysinghe* are joined by WSO2 Chief AI Officer *Rania Khalaf* to discuss what the agentic enterprise really means. The conversation looks beyond AI pilots and explores the architectural foundations needed to make agents practical at enterprise scale. Topics include agents as first-class actors, the platform capabilities required to support them, and why identity, policy, observability, and audit matter in an agentic world. The episode closes with a practical view of what architects should start doing now.