# Ai Guardrails
**Source:** https://glossary.keenfunnel.com/terms/ai-guardrails
**Language:** Hindi

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## तकनीकी स्पष्टीकरण

Guardrails can operate before, during, or after model inference. They include access controls, input validation, content and policy filters, retrieval restrictions, tool allowlists, approval gates, output verification, rate limits, monitoring, and incident procedures. Effective guardrails are layered around the model and mapped to identified risks rather than relying on a single prompt or classifier.

## व्यावसायिक प्रासंगिकता

Guardrails help organisations reduce harmful outputs, data leakage, unauthorised actions, and policy violations while preserving useful AI capabilities. They also provide evidence that risk treatments are implemented and monitored.

## कार्यान्वयन उदाहरण

An internal AI assistant can search only approved repositories, masks sensitive fields, blocks unapproved external tools, cites retrieved sources, and requires human approval before sending messages or changing records.

## सीमाएँ और आम गलत धारणाएँ

Guardrails reduce risk but do not make AI inherently safe or accurate. Filters can be bypassed, controls can conflict, and overly restrictive policies can make systems unusable. Controls require testing and revision as models and threats change.

## विषय

एआई शासन साइबर सुरक्षा इंटेलिजेंट ऑटोमेशन

## स्रोत

NIST AI RMF Generative AI Profile — OWASP GenAI Security Project — https://genai.owasp.org/

## अपने सिस्टम पर चर्चा करें

इस अवधारणा को लागू करने या मूल्यांकन करने में मदद चाहिए? कीनफ़नेल कनेक्टेड एआई, स्वचालन और डेटा प्रणालियाँ डिज़ाइन करता है।

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