Guardrails are technical, procedural, or policy controls designed to keep AI systems within acceptable boundaries. They may reduce risks such as harmful outputs, data leakage, unauthorized access, policy violations, or unsafe behavior. Effective guardrails are typically combined with monitoring, testing, and human review.
A side-by-side comparison of Guardrails and Content Moderation / Safety Filters. Understand the difference between broad AI system boundaries and specific controls for harmful or disallowed content.
A side-by-side comparison of Security By Design and Guardrails. Understand how lifecycle security planning differs from specific controls that keep AI systems within acceptable boundaries.