Architecture patterns, service mesh, microservices, and API system design.
View All TagsMake enterprise APIs discoverable and consumable by AI agents. Compare the five integration patterns, the core challenges, and how to choose.
What enterprise MCP is, why scaling MCP safely is hard, and the control-plane architecture (identity, governance, gateway, observability) enterprises need for AI agents.
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.
A practical guide to MCP governance: registries, allowlists, RBAC, and policy to safely govern third-party MCP tools and servers across the enterprise.
Understand MCP security: the top risks (prompt injection, tool poisoning, excessive permissions) and the controls that secure Model Context Protocol servers and agents.
What an MCP server catalog is, public directories vs a governed internal registry, and how enterprises curate approved MCP servers with provenance and access control.
MCP server security best practices: OAuth 2.1, least privilege, scope control, credential vaults, and auditing to ship production-ready AI agents safely.
MCP tool poisoning hides malicious instructions in tool metadata. Learn how the attack works, real CVEs, and how an MCP gateway detects and blocks it.
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 LLM routing is, static vs dynamic vs model-aware strategies, and how routing cuts LLM cost and improves reliability at the gateway layer.