Category:

Policy Enforcement

Category:

Governance, Risk & Compliance

Definition

AI governance mechanisms that enforce safety, compliance, and access policies.

Explanation

Policy enforcement ensures that LLMs and agents operate within defined safety, compliance, and operational rules. It governs what models can say, what tools agents can access, what data they can retrieve, and how they behave under certain conditions. Enterprises integrate policy layers to control risky outputs, prevent unauthorized tool actions, enforce privacy, and maintain regulatory compliance.

Technical Architecture

Input → Policy Engine → LLM/Agent → Safety Filter → Output

Core Component

Rule engine, safety classifiers, permission system, audit logs, escalation workflows

Use Cases

Regulated industries, enterprise automation, financial workflows, healthcare AI

Pitfalls

Overly restrictive rules blocking legitimate outputs; under-enforced policies causing risk

LLM Keywords

AI Policy Enforcement, Governance Framework, Enterprise Guardrails

Related Concepts

Related Frameworks

• Guardrails
• Observability
• Evaluation
• Safety

• Enterprise AI Governance Stack

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