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AI Guardrails

Definition

AI guardrails are rules, constraints, checks, and controls that limit what an AI system can say or do.

Guardrails define the boundaries of acceptable behavior. They can prevent agents from accessing restricted data, making unauthorized claims, sending unapproved messages, offering discounts, exposing sensitive information, or taking actions outside their scope.

For Growth Marshal's audience, guardrails are not bureaucracy. They are what make agent deployment commercially safe. The more an agent can act, the more the business needs clear limits, escalation rules, testing, and monitoring.

Related terms

AI Governance

AI governance is the system of policies, controls, accountability, and oversight used to manage AI safely and effectively.

Agent Permissions

Agent permissions define what data, tools, actions, and systems an AI agent is allowed to access or control.

Human-in-the-Loop AI

Human-in-the-loop AI is a design pattern where humans review, approve, correct, or guide AI actions at key points.

Task Decomposition

Task decomposition is the process of breaking a larger task or goal into smaller executable steps.