Keywords AI

NeMo Guardrails vs Prompt Security

Compare NeMo Guardrails and Prompt Security side by side. Both are tools in the AI Security category.

Quick Comparison

	NeMo Guardrails	Prompt Security
Category	AI Security	AI Security
Pricing	—	Enterprise
Best For	—	Enterprise security teams who need comprehensive protection for all generative AI usage
Website	github.com	prompt.security
Key Features	—	Full-stack GenAI security platform Prompt injection prevention Shadow AI detection Data leakage prevention Security posture management
Use Cases	—	Securing enterprise LLM deployments Detecting unauthorized AI usage Preventing sensitive data exposure in AI GenAI security compliance Shadow AI governance

When to Choose NeMo Guardrails vs Prompt Security

Choose Prompt Security if you need

Securing enterprise LLM deployments
Detecting unauthorized AI usage
Preventing sensitive data exposure in AI

Pricing: Enterprise

How to Choose a AI Security Tool

Key criteria to evaluate when comparing AI Security solutions:

Threat coverageProtection against prompt injection, jailbreaks, data leakage, and other LLM-specific attacks.

Latency impactProcessing overhead added to each request — critical for real-time applications.

CustomizationAbility to define custom security policies and content rules for your domain.

Compliance supportBuilt-in PII detection, data residency controls, and audit logging for regulatory requirements.

About NeMo Guardrails

NVIDIA NeMo Guardrails is an open-source toolkit for adding programmable guardrails to LLM applications. It provides a modeling language (Colang) for defining conversation flows, topic boundaries, safety checks, and fact-checking rails. Integrates with any LLM and supports both input and output validation.

View NeMo Guardrails profile →Visit website

About Prompt Security

Prompt Security provides enterprise GenAI security across the entire AI stack. Their platform protects against prompt injection, data exfiltration, harmful content, and shadow AI usage. It works as a transparent proxy for all LLM traffic, enabling centralized security policy enforcement without changing application code.

View Prompt Security profile →Visit website

What is AI Security?

Platforms focused on securing AI systems—prompt injection defense, content moderation, PII detection, guardrails, and compliance for LLM applications.

Browse all AI Security tools →

Frequently Asked Questions

What are the main security risks with LLM applications?▾

The primary risks are prompt injection, data leakage, jailbreaking, and hallucination. Each requires different mitigation strategies.

Do I need a dedicated AI security tool?▾

If your LLM application handles sensitive data or is user-facing, yes. Basic input validation is not enough — LLM attacks are sophisticated and evolving. Dedicated tools stay updated against new attack vectors and provide defense-in-depth.