Build one Node gateway that authenticates callers, enforces quotas, and blocks unsafe model traffic across providers
5 sections · 10 lessons
Trace the attack surface, then bind callers, tenants, scopes, and model access to the only enforcement points that can return 401 or 403.
2 lessonsBuild the proxy-side controls that keep traffic on approved paths, protect provider credentials, and enforce shared limits across replicas with the correct 429 and 503 behavior.
2 lessonsApply input and output safety checks, residency-aware provider selection, and tenant-safe caching so model traffic stays within policy and does not leak across tenants.
2 lessonsDiagnose quota drift, retry storms, and compromised keys from telemetry, then decide which controls belong in the Node proxy, middleware, or a managed gateway.
2 lessonsEvaluate the whole control map with a table-driven regression suite and a final reference model that ties each control to the threat it stops and the risks that remain.
2 lessonsEvery lesson in order.
10 lessons
AI gateway incidents usually start with a bad assumption about where trust begins and ends. This course shows how a self-hosted Node proxy can sit in front of multiple model providers, enforce caller identity, scope, routing, quotas, and safety controls, and still leave a clear record of what it can and cannot stop. It is aimed at platform engineers who need one central gateway for internal and customer-facing traffic, with controls that hold up under real failure modes and cross-provider complexity.
The course covers gateway trust boundaries, caller authentication, model allowlists, provider credential handling, transport and egress limits, shared rate limits, token and cost quotas, safety filters, residency-aware routing, tenant-isolated caching, telemetry for drift and abuse, and a regression suite for control coverage. It also maps controls to threats and clarifies residual risk outside the gateway.
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Something to operate in every section.
Three findings from decades of learning research shaped how every Fenzo lesson is built.
Average pass rate · Freeman et al., PNAS 2014
What the science says
Students in lecture-only classes are 1.5× more likely to fail.
How Fenzo does it
Every Fenzo lesson is interactive. No passive reading or watching, ever.
You work through itAI does it for you
Skill retention over time · with vs. without practice
What the science says
Offloading thinking to AI erodes the very skills you’re trying to build.
How Fenzo does it
Fenzo makes you do the thinking — guided, but never done for you.
Retrieval practiceRe-reading
Long-term recall · retrieval vs. re-reading
What the science says
Recalling information beats re-reading it for building durable understanding.
How Fenzo does it
Lessons weave in quizzes and recall prompts, so it sticks.