Open navigation menu

AI Governance

Guardrails, content safety, policy, and AI governance controls.

Governance tooling matters most when enterprise teams need defensible controls around prompts, outputs, access, logging, and policy enforcement across multiple models and application teams.

This category mixes cloud-native guardrails with independent safety vendors. Compare them by scope: some are lightweight content filters, while others are closer to a broader oversight layer for high-risk or regulated deployments.

10 tools in current dataset
Filter tools by type
Filter tools by cloud support

Showing 10 matching tools.

Cloud vendor tools

Cloud-native vendor offerings are shown first here, before the broader open source and third-party landscape below.

Comparison table for Azure AI Content Safety, Amazon Bedrock Guardrails, Google Model Armor
AttributeAzure AI Content SafetyAmazon Bedrock GuardrailsGoogle Model Armor
DescriptionContent moderation with configurable severity scoringConfigurable safeguards for filtering, PII, hallucinationsModel-agnostic safety screening for prompts and responses
Risks coveredToxicity, prompt injection, hallucination, copyrightContent, prompt attacks, PII, hallucination, malicious codePrompt injection, PII, toxicity, malicious URLs
PricingPay-per-text-unit; free tier$0.15/1K text units after the recent Bedrock Guardrails price cutPay-as-you-go
Unique capabilityOn-premises containers + on-device deployment pathAutomated Reasoning for formal-policy style checksApigee + GKE + Security Command Center integration path
IntegrationREST API, Python/C#/Java SDKsAWS SDK, Bedrock API, AgentCoreREST API, Vertex AI, Apigee, GKE

Filtered open source and third-party tools

6 matching non-vendor tools in this filtered view.

Commercial

Agent governance and discovery platform following Arthur AI's January 2026 GenAI Engine rename.

Proprietary
SaaSSelf-hostedOn-premLicense medium

Guardrails AI

Guardrails AI

Open Source

Validation-focused guardrails framework with a large validator ecosystem and freemium model.

AWSAzureGCP
6,941MIT
Self-hostedLicense low

Lakera Guard

Check Point

Commercial

Commercial LLM security layer integrating into broader cloud security offerings after acquisition.

Proprietary
SaaSSelf-hostedSOC 2License high

LLM Guard

Palo Alto Networks (Protect AI)

Open Source

Open source safety filtering toolkit whose development has slowed following acquisition activity.

AWSAzureGCP
3,012MIT
Self-hostedLicense low
Maintenance mode — Development slowed significantly post acquisition. Last meaningful commit noted as December 2025 in the guide.
Open Source

Open source guardrails framework for LLM and agent safety with a dedicated Colang DSL.

AWSAzureGCP
6,298Apache 2.0
Self-hostedLicense low

Rebuff

Palo Alto Networks

Open Source

Prompt injection defense project archived in May 2025 and not recommended for new projects.

AWSAzureGCP
1,493Apache 2.0
Self-hostedLicense low
Archived — Archived May 16, 2025. Do not recommend for new projects.

Important notes

Warning

Arthur GenAI Engine: Rebranded from Arthur AI to Arthur GenAI Engine and pivoted toward agent discovery and governance.

Warning

LLM Guard: Development slowed significantly post acquisition. Last meaningful commit noted as December 2025 in the guide.

Warning

NeMo Guardrails: Repository moved from NVIDIA/NeMo-Guardrails to NVIDIA-NeMo/Guardrails.

Warning

Rebuff: Archived May 16, 2025. Do not recommend for new projects.

Recent updates

2026-03-12
NeMo Guardrails adds parallel IORails safety execution
NeMo Guardrails

NeMo Guardrails' March 12 release introduced IORails for parallel input/output safety execution, plus OpenAI-compatible server support and standalone async rail validation.

Source
2025-09-16
Check Point moves to acquire Lakera
Lakera Guard

Check Point announced an agreement to acquire Lakera, positioning the startup's AI-native protection stack inside a broader end-to-end enterprise AI security portfolio.

Source

Explore adjacent hubs

Compare the active category against the platform foundation layer, the cross-category updates feed, and the sourcing/contribution guide.