Skip to content

AI governance glossary

AI guardrails

AI guardrails are policies and runtime checks that guide model requests, responses, or agent actions within defined boundaries.

Why it matters

Guardrails can help teams apply rules at the point where a model request or agent action occurs. Their scope depends on the policy and runtime path.

How it works

Checks may inspect selected request or response signals, evaluate tool actions, or pause an action for human review. Teams should understand which paths each control covers.

How Halo approaches it

Halo supports selected runtime classifiers for PII, secrets, prompt injection, moderation, and language checks, with masking or redaction in supported gateway paths.

Put a halo around the AI your business runs.

See discovery, runtime policy, approvals, and evidence working together on your own use cases.