AI Guardrails
Safety mechanisms that constrain AI system behavior to prevent harmful, biased, or off-policy outputs.
TL;DR
- —Safety mechanisms that constrain AI system behavior to prevent harmful, biased, or off-policy outputs.
- —Understanding AI Guardrails is critical for effective AI for companies.
- —Remova helps companies implement this technology safely.
In Depth
AI guardrails are control mechanisms implemented around AI systems to ensure their outputs remain within acceptable boundaries. They can operate at the input level (filtering prompts before they reach the model) or at the output level (screening responses before delivery to users). Modern enterprise guardrails typically include content filtering, topic restrictions, PII detection, and policy enforcement. Remova implements dual-layer guardrails combining instant rule-based matching with AI-powered semantic analysis for comprehensive protection.
Related Terms
Semantic Filtering
AI-powered content analysis that understands meaning and intent rather than relying on keyword matching.
Prompt Injection
An attack technique where malicious instructions are embedded in user prompts to manipulate AI model behavior.
Content Safety
Mechanisms ensuring AI-generated content is appropriate, accurate, and aligned with organizational standards.
AI Safety Layer
A middleware component that sits between users and AI models to enforce safety policies and controls.
Glossary FAQs
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