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Guardrails AI vs Guard
Guardrails AI validates LLM output in your code. Guard is managed compliance infrastructure for Australian regulation. Different layers.
Why this comes up
Guardrails AI is a popular open-source Python framework. You wrap LLM calls with validators, structured-output schemas, type checks, regex, and custom "guards" so the model returns data your application can trust. For output quality and reliability it’s genuinely useful.
It is not, and doesn’t claim to be, a compliance product. There’s no Australian PII detection with TFN, Medicare, or ABN checksums; no cryptographic per-call attestation; no regulatory mapping; and no managed audit trail. It’s a developer library for output validation, running inside your code, maintained by you.
Guard operates at a different layer. It’s managed infrastructure that sits in the request path, applies Australian PII and injection detection on both input and output, signs each call as tamper-evident evidence mapped to CPS 234 and the Privacy Act, and retains it for seven years. Output validation and compliance evidence are complementary, not the same thing.
Side by side
| Capability | Guardrails AI | 40° South Guard |
|---|---|---|
| Open-source output validation framework | ✓ | ✗ |
| Structured output / schema enforcement | ✓ | ✗ |
| Managed infrastructure (no code to maintain) | ✗ | ✓ |
| Australian PII detection (TFN, Medicare, ABN) | ✗ | ✓ |
| Per-call cryptographically signed attestation | ✗ | ✓ |
| CPS 234 / Privacy Act regulatory mapping | ✗ | ✓ |
| 7-year tamper-evident evidence vault | ✗ | ✓ |
✓ = supported · ~ = partial · ✗ = not supported
Download the full comparison (PDF)Could you run them together?
Yes. Use Guardrails AI in your application for output validation and structure, and route the underlying model calls through Guard for the compliance evidence layer.
One makes your outputs reliable; the other makes your AI use defensible to a regulator.
See Guard on your own AI calls
Book a demo and we’ll show you a signed attestation for a real call — mapped to your obligations under CPS 234, the Privacy Act, and ADM transparency.