Red Team LLM Lab

At a glance

• Editor score
  6.9 / 10
• Pricing
  Free plan
• Best for
  Teams studying prompt attacks and backdoors
• Free plan
  Yes
• Paid from
  Free
• Prompt injection tests
  Yes
• Facts checked
  21 Sep 2026

• Where it wins

  • Free open-source framework with local self-hosted deployment
  • Covers injection, jailbreak, honeypot, backdoor, and RAG tests
  • Produces JSON logs, comparisons, and security posture reports

• Where it doesn't

  • Requires source installation, Python, and downloaded language models
  • Self-hosted deployment adds local setup and maintenance responsibilities
  • Does not provide verified unsafe-output testing or integrations

Our verdict on Red Team LLM Lab

Red Team LLM Lab is an open-source Python framework for evaluating large language model security against adversarial attack vectors. It is aimed at security researchers, developers building secure AI applications, educators, and organizations conducting internal audits. The project runs locally with Python and downloaded language models, making it a fit for teams that want to study model behavior in a self-hosted environment rather than adopt a commercial SaaS workflow.

Its strongest area is the breadth of attack-focused testing in one project. Red Team LLM Lab supports prompt-injection testing, jailbreak simulation with 14+ techniques, honeypot agents for studying attack patterns, and backdoor detection that includes Unicode triggers. Static prompt analysis adds risk scoring, while RAG-poisoning tests address retrieval-related security concerns. Protected-versus-unprotected model comparison can help teams examine the effect of safeguards across model configurations. Custom test cases, JSON test logs, and security posture reporting extend the framework beyond one-off prompts and provide structured outputs for review.

The trade-off is operational rather than commercial: this is a source-installed, self-hosted project, and setup requires Python plus downloaded language models. That model suits teams with technical ownership of their testing environment, but it may be less suitable for buyers seeking managed onboarding, hosted integrations, or a polished SaaS interface. The project is labeled active in its README and classified as Alpha in setup.py, so teams should account for an early-stage project profile. Choose it for focused research into prompt attacks, jailbreaks, honeypots, backdoors, prompt risk, and RAG poisoning; consider another tool when verified integrations or unsafe-output testing are central requirements.

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Red Team LLM Lab pricing

Red Team LLM Lab fact sheet

Alternatives to Red Team LLM Lab

• PromptGuardBroad AI security testing with flexible deployment and a low-cost paid entry tier.9.3
• Akto Agentic Red TeamingBroad AI security testing for enterprise agent and API security teams.9.1
• MindgardA broad AI risk platform spanning discovery, testing, protection, and remediation.9.0

See all Red Team LLM Lab alternatives →

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update