Guardrails (AI)

AI guardrails are policy-based controls that keep AI systems operating within their intended boundaries. They help prevent unsafe or unauthorized behavior by enforcing restrictions on prompts, model outputs, tool usage, data access, and AI agent actions. Organizations use AI guardrails to reduce risks such as prompt injection, sensitive data exposure, policy violations, excessive agency, and compliance breaches while enabling the safe adoption of AI.

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