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GrGuardrails2

Guardrails

Safety first

validationRow 2: Compositionsintermediate2 hoursRequires: Pr, Lg

Overview

Guardrails are validation layers that ensure AI outputs meet safety, quality, and compliance requirements before reaching users.

What is it?

Input/output filters and validators that constrain AI behavior.

Why it matters

Production AI needs safety. Guardrails prevent harmful outputs, enforce policies, and ensure consistent quality.

How it works

Check inputs before processing (block jailbreaks), validate outputs before returning (filter harmful content), and enforce structural requirements (JSON schema).

Real-World Examples

Content Moderation

Filtering harmful or inappropriate outputs

PII Detection

Preventing personal data leakage

Schema Validation

Ensuring structured output format

Tools & Libraries

Guardrails AIlibrary

Python framework for AI validation

NeMo Guardrailsframework

NVIDIA's safety toolkit

LangChain Guardslibrary

Built-in validation chains