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LLM Guard

Free#16 of 23 in AI Guardrail SoftwareLLM Security Tools

LLM Guard: A focused, self-hosted scanner toolkit for developers securing LLM inputs and outputs. Ranked #16 of 23 in AI Guardrail Software by our editors (7.5/10); pricing: Open source; best for developers wanting open-source scanner services.

7.5/10Editor score
LLM Guard7.5 Visit LLM Guard

At a glance

  • Editor score
    7.5 / 10
  • Pricing
    Open source
  • Best for
    Developers wanting open-source scanner services
  • Paid from
    Free
  • Facts checked
    21 Sep 2026
LLM Guard screenshot
  • Where it wins

    • Scans for prompt injection, PII, secrets, and sensitive outputs
    • Supports topics, toxicity, URLs, relevance, and factual consistency checks
    • Integrates with OpenAI, LangChain, LlamaIndex, and LiteLLM
  • Where it doesn't

    • Project and associated models were archived on July 9, 2026
    • No free commercial plan for teams seeking a managed offering
    • Platform coverage centers on API and self-hosted deployment

Our verdict on LLM Guard

LLM Guard is an open-source Python toolkit from Protect AI for developers building applications with large language models. It is designed for teams that want to inspect and filter model interactions through self-hosted scanner services rather than adopt a broader managed guardrail platform. The toolkit covers both incoming prompts and outgoing model responses, with support for local API deployment through Uvicorn, Gunicorn, or Docker.

Its strongest area is the breadth of its scanning toolkit. LLM Guard can detect direct and indirect prompt injection attempts, anonymize or redact personally identifiable information, and identify secrets such as API tokens, private keys, and high-entropy strings. Input and output scanners also address sensitive data, topics, toxicity, code, language, URLs, relevance, and factual consistency. Integrations with OpenAI, LangChain, LlamaIndex, and LiteLLM make it a practical fit for applications already using those components, while pip installation and local deployment support keep the implementation centered on developer-controlled infrastructure.

The main consideration is lifecycle rather than feature scope. Protect AI archived the project and its associated models on July 9, 2026, and they are no longer under active development or maintenance. That makes LLM Guard better suited to developers who specifically need an open-source, self-hosted scanner toolkit and can manage the implications of an archived project. Teams seeking ongoing maintenance, a managed commercial plan, or wider platform coverage should choose an actively developed alternative instead. LLM Guard remains a focused option for inspecting common LLM risks across prompts and outputs, but its archived status should shape any new adoption decision.

Your product? Our editors can test LLM Guard in depth and publish a review, labelled as paid · from $149/mo →

LLM Guard pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on github.com

LLM Guard fact sheet

Free planNot verified
Paid fromFree
DeploymentNot verified
Prompt injection defenseNot verified
PII detectionNot verified
Jailbreak detectionNot verified
Custom policiesNot verified
SDK languagesNot verified
DeploymentSelf-hosted
SupportEmail, Community, Docs
Built forSmall business, Mid-market, Enterprise (editorial estimate)
Integrations4 integrations: OpenAI, LangChain, LlamaIndex, LiteLLM
PricingOpen source
Websitegithub.com
Facts checked21 Sep 2026

LLM Guard integrations

LLM Guard lists 4 integrations on its own site.

  • OpenAI
  • LangChain
  • LlamaIndex
  • LiteLLM

Alternatives to LLM Guard

See all LLM Guard alternatives →

Also Ranked In

LLM Guard is ranked in 2 of our directories.

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Featured on iTechGuides

Featured on iTechGuides — LLM Guard 7.5/10

LLM Guard is listed in our AI Guardrail Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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