JWT is a token format, OAuth is an authorization framework, and they're not competitors. Learn the difference, how they work together, and when to use each.
Understand OAuth 2.1's key changes from OAuth 2.0, mandatory PKCE, removed grants, stricter tokens, and what it means for API and AI agent security.
Learn REST API design best practices: resource naming, HTTP methods, versioning, auth, and error handling, with practical examples for building APIs that scale.
New to REST APIs? Learn what a REST API is, how it works, its core principles, and real examples, explained in plain English for beginners.
Make 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.
How to monitor MCP servers: the metrics that matter (tool latency, error rates, usage patterns), logging and tracing with OpenTelemetry, and what not to log.
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.