What are Guardrails?
Policies, rules, or constraints that ensure AI models act safely, ethically, and within desired boundaries.
More about Guardrails:
Guardrails in AI are explicit policies, automated rules, or technical constraints designed to keep LLMs and autonomous agents operating safely, ethically, and in line with user or business requirements. They can be enforced through system prompts, content filters, human feedback (RLHF), or custom moderation APIs.
Guardrails are essential for preventing harmful outputs, maintaining compliance, and ensuring responsible AI in agentic workflows and plugin ecosystems.
Frequently Asked Questions
What are common forms of guardrails in AI systems?
They include content moderation, usage limits, prompt restrictions, and real-time safety checks.
Why are guardrails important for enterprise AI?
They help mitigate risk, maintain compliance, and build trust with users and stakeholders.
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