Keywords AI

NeMo Guardrails vs Pangea

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

Quick Comparison

	NeMo Guardrails	Pangea
Category	AI Security	AI Security
Website	github.com	pangea.cloud

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.

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About Pangea

Pangea is the "Twilio for Security" — a set of composable security APIs that developers embed directly into AI applications. It provides audit logging, data redaction, embargo compliance, IP reputation, and domain intelligence as simple API calls. For AI apps, Pangea's Redact API strips PII from prompts, its AI Guard detects prompt injections, and its Audit API creates tamper-proof logs of all AI interactions.

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What is AI Security?

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

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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.