Safety, Alignment & Ethics
Guardrails
Rules or filters built into an AI system to prevent harmful or inappropriate outputs.
Definition
Guardrails are safety mechanisms applied to AI systems to constrain their behaviour within acceptable boundaries. They may be built into the model through training (refusing to produce certain types of content), applied at the system level (filtering inputs and outputs), or enforced through the system prompt (instructing the model to stay on topic). Effective guardrails are essential for deploying AI in business contexts where outputs are consequential.
Related Terms
System Prompt
Instructions given to an AI at the start of a session that shape its behaviour throughout.
Red Teaming
Deliberately trying to find flaws or harmful behaviours in an AI before deployment.
AI Safety
The field focused on preventing AI from causing harm, intentional or unintentional.
Content Moderation
Automated or human review of AI outputs to catch problematic content.
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Disclaimer
This definition is provided for educational and informational purposes only. It represents a general explanation of a technical concept and does not constitute professional, technical, or investment advice. Artificial intelligence is a rapidly evolving field; terminology, techniques, and capabilities change frequently. Coaley Peak Ltd makes no warranty as to the accuracy, completeness, or currency of the information provided. Nothing on this page should be relied upon as the sole basis for commercial, technical, legal, or investment decisions without independent professional advice.
Document reference: ISO_webpage_knowledge-base_glossary_v1
Last modified: 29 March 2026
Knowledge Base·Safety, Alignment & Ethics·Guardrails