Claude Code on Bedrock: Build & Secure Enterprise AI Agents with Kong AI Gateway

REGISTER HERE

Join Kong and AWS at the Forum at Roam Buckhead for an intensive hands-on workshop exploring how to build, secure, and govern enterprise Model Context Protocol (MCP) servers using Kong AI Gateway on AWS infrastructure. Whether you're a developer building AI-powered applications or a platform engineer responsible for securing and scaling them, this session has something for you.

You'll work through converting traditional APIs into MCP tools, implementing enterprise-grade security, and deploying production-ready AI agent infrastructure — all powered by Amazon Bedrock with Anthropic's Claude Opus 4.6 and the Strands agent framework, with Kong AI Gateway serving as the secure control plane throughout.

• Claude Code on Bedrock — Use Claude Code to scaffold, iterate, and refine your MCP server and agent code throughout the workshop, dramatically accelerating your development workflow
• MCP Server Development — Convert traditional APIs into Model Context Protocol tools with centralized governance built in from day one
• Kong AI Gateway — Use Kong as the secure control plane protecting Bedrock across agent code generation and runtime workloads
• Strands Agent Framework — Build and run AI agents powered by Bedrock, with Kong enforcing rate limits, authentication, and policy controls
• Security & OAuth 2.0 — Implement enterprise-grade authentication and authorization across your AI ecosystem
• Observability — Wire up monitoring and visibility for production-ready deployments

Why this matters: In today's AI-driven landscape, MCP has emerged as the standard for connecting AI applications with enterprise data sources and tools — but organizations consistently struggle to standardize development practices and enforce security at scale. Developers want to move fast; platform teams need guardrails. This workshop shows how Kong AI Gateway bridges that gap, providing the centralized governance, security, and observability that lets development teams ship AI agent workloads to production with confidence — and gives platform teams the controls they need to say yes.

Come prepared: Bring your laptop with internet access. This is a hands-on session — you'll be writing code, configuring gateways, and deploying real infrastructure throughout.