Keywords AI

Lakera vs NeMo Guardrails

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

Quick Comparison

	Lakera	NeMo Guardrails
Category	AI Security	AI Security
Pricing	Freemium	—
Best For	Teams deploying user-facing LLM applications who need protection against prompt injection	—
Website	lakera.ai	github.com
Key Features	Prompt injection detection Content moderation PII detection and masking Real-time threat monitoring API-based security layer	—
Use Cases	Protecting LLM apps from prompt injection Automated content moderation PII detection before data reaches LLMs Compliance monitoring for AI systems Real-time security threat prevention	—

When to Choose Lakera vs NeMo Guardrails

Choose Lakera if you need

Protecting LLM apps from prompt injection
Automated content moderation
PII detection before data reaches LLMs

Pricing: Freemium

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 Lakera

Lakera provides real-time AI security that protects LLM applications from prompt injection, jailbreaks, data leakage, and toxic content. Lakera Guard is a low-latency API that scans inputs and outputs to detect and block attacks before they reach the model. The platform defends against the OWASP Top 10 for LLMs and is used by enterprises to secure customer-facing AI applications.

View Lakera profile →Visit website

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

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.