Enterprise AI Security
NVIDIA NeMo Guardrails: Programmable Dialog Rails, Safety Policies & Colang
Enforce safety boundaries on LLM outputs using NVIDIA NeMo Guardrails: input rails, dialog flow constraints, and output validation.
The Three Guardrail Layers in Colang
1. Input Rails: Block malicious prompts before reaching the LLM. 2. Dialog Rails: Keep conversation strictly within approved business domain flows. 3. Output Rails: Sanitize responses to prevent secret leakage and toxic generation.
Related Technical Guides
Deepen your understanding with these closely related production architectures and tutorials:
Defending Against Prompt Injection & Jailbreaks: Indirect Attacks & Guardrails
Protect your enterprise AI agents from direct and indirect prompt injections, adversarial suffixes, and untrusted user input.
PII Masking & Privacy-Compliant AI: Microsoft Presidio & Real-Time Redaction
Anonymize credit cards, government IDs, and health data before sending prompts to external LLMs using Microsoft Presidio and reversible tokenization.
OWASP Top 10 for LLMs: Comprehensive Defense Strategies for 2026
A deep dive into OWASP LLM vulnerabilities: Insecure Output Handling, Excessive Agency, Model Denial of Service, and Supply Chain Risks.