Components · AI pipeline

Guardrails

Input and output checks: injection, PII, policy.

Lesson
Coming soon
Zone
ai
Place it
7 cr on the blank canvas, free inside a problem

At a glance

Did you know
Guardrails check inputs and outputs for unsafe content, prompt injection or leaked data.
Rule of thumb
Run cheap checks first and model-based checks only when they are needed.
Watch out
Latency on every call; misses injections at low detection.

Its settings in ScaleMySystems

What you can change on it in the lab, and what each number does.

Concurrency (slots)
Calls it can work on at once (per instance when autoscaling). Needed slots ≈ calls per second × seconds each takes. Extra calls wait in the queue, then are rejected.
Queue capacity
Calls allowed to wait for a free slot. A bigger queue absorbs bursts but adds waiting time; 0 rejects straight away.
Latency (p50) (ms)
Typical time one call takes here, before any calls it makes itself. Slots are held for this long.
Latency (p99) (ms)
The slowest 1% of calls. Callers must set their timeout above this or they cut off healthy calls.
Attack block rate
Share of the attacks it covers that it stops. The rest pass through and are served like real users.
False positives (real users blocked)
Share of real users it wrongly blocks. Stricter rules raise the block rate and this together.

Problems that start with it

Full lesson coming soon

Lessons are being added one component at a time: how it works, its settings, a live exercise to break and fix it, interview questions and a short check. See the Circuit breaker lesson for what one looks like.