NeMo Guardrails
Community project
NeMo Guardrails is an Apache-2.0 open-source toolkit for adding programmable controls to LLM applications. Teams can define input, retrieval, execution, dialog, and output rails to check content, constrain tool use, protect data, and apply policy around model interactions.
Verified Sources: github.com, docs.nvidia.com
- Product type
- Community project
- Deployment
- On-prem
- Organization size
- IndividualSMBMid-marketEnterprise
- Pricing tier
- Free
AI security profile
Open-source toolkit for adding programmable input, retrieval, execution, and output rails to LLM applications and agents.
Prompt & response protectionAgent & tool governanceAI data protection
Capability checklist
AI RuntimeHow NeMo Guardrails measures up against the full AI Application & Agent Security taxonomy.
- Prompt & response inspection — supported
- Inspects model inputs and outputs for attacks, sensitive data, malware, and policy violations.
- Runtime AI firewall — supported
- Allows, blocks, redacts, or transforms AI traffic inline according to security policy.
- Agent & tool control — supported
- Constrains which tools, APIs, data sources, and actions an AI agent may use.
- Retrieval content protection — not supported
- Checks retrieved documents and external content for poisoning, hidden instructions, and malicious payloads.
- AI data-loss prevention — supported
- Detects and prevents sensitive information from entering or leaving AI systems.
- AI runtime monitoring — supported
- Records AI interactions and behavior so teams can detect attacks, investigate incidents, and tune controls.
Alternatives
Other AI Application & Agent Security tools with overlapping capabilities, sized for similar teams.
Appears in stacks
Real-world stacks that include NeMo Guardrails.