# AI Guardrails

AI guardrails are rules and controls that keep an AI system within approved data, behavior, and decision boundaries.

## Why it matters

Guardrails reduce specific risks through controls such as access checks, data validation, content filters, action limits, and human approvals. They do not make an AI system safe by default, so teams still need testing, monitoring, incident response, and clear ownership.

## Example

A support agent can draft refunds but cannot issue one above a defined amount without an employee’s approval; the policy is enforced by application code rather than left as a sentence in the prompt.

## FAQ

### What is AI Guardrails in simple terms?

AI guardrails are rules and controls that keep an AI system within approved data, behavior, and decision boundaries.

### Why does AI Guardrails matter for teams using AI?

Guardrails reduce specific risks through controls such as access checks, data validation, content filters, action limits, and human approvals. They do not make an AI system safe by default, so teams still need testing, monitoring, incident response, and clear ownership.

### What is a practical example of AI Guardrails?

A support agent can draft refunds but cannot issue one above a defined amount without an employee’s approval; the policy is enforced by application code rather than left as a sentence in the prompt.


Source: https://www.luffy.so/ai-glossary/ai-guardrails

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