Category:

Guardrails

Category:

AI Safety & Governance

Definition

Controls that constrain AI behavior within safe and compliant boundaries.

Explanation

Guardrails enforce policies around what AI systems can say or do. They include input filtering, output moderation, tool permissioning, and escalation logic. Guardrails are essential for enterprise and regulated AI deployments.

Technical Architecture

Input → Guardrails → LLM/Agent → Guardrails → Output

Core Component

Policy engine, classifiers, filters, audit logs

Use Cases

Enterprise copilots, regulated industries, public AI systems

Pitfalls

Over-blocking useful outputs, added latency

LLM Keywords

AI Guardrails, LLM Safety

Related Concepts

Related Frameworks

• AI Governance
• LLM Firewalls
• Safety Sandboxing

• Guardrails AI
• OpenAI Moderation

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